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<!DOCTYPE HTML>
<html lang="en">
<head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Publications</title>
<meta name="author" content="Andrea Bajcsy">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="icon" href="images/favicon.ico">
</head>
<!-- NAVIGATION -->
<div class="header" style="width:100%;max-width:900px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;padding-bottom:0px">
<!-- <a href="index.html" class="logo" style="color:black;font-size:18px;">Andrea Bajcsy</a> -->
<a href="index.html" class="logo" style="color:black;font-size:18px; padding-top:30px"><img src="images/intent_logo.png" height="80"></a>
<div class="header-right" style="padding-top:50px;">
<a href="people.html" style="font-size: 23px; color:black">People</a>
<!-- <a href="research.html" style="font-size: 23px; color:black">Research</a> -->
<a href="publications.html" style="font-size: 23px; color:black">Publications</a>
<a href="join.html" style="font-size: 23px; color:black">Join</a>
<br>
<div class="header-right" style="padding-top:0px;">
<a href="https://github.com/CMU-IntentLab"><i class="fa fa-github" style="font-size:28px;color:black;"></i></a>
<a href="https://www.youtube.com/channel/UCXncV-Q5Iit_PmqABQauptQ"><i class="fa fa-youtube" style="font-size:28px;color:black;"></i></a>
</div>
</div>
</div>
<!-- CONTENT -->
<body>
<table style="width:100%;max-width:900px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr style="padding:0px">
<td style="padding:0px">
<!-- PRE-PRINTS HEADING -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding-left:20px;padding-bottom:0px;width:100%;vertical-align:middle">
<heading><b>Preprints</b></heading>
</td>
</tr>
</tbody>
</table>
<!-- PRE-PRINTS -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/li_2026_elastic.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies</papertitle>
<br>
A. Li, G. Swamy, Y. Bisk, A. Bajcsy
<br>
<em>arXiv</em>, 2026
<br>
<a class="button-paper" href="https://arxiv.org/abs/2606.31132"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/wu_2026_vital.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Inference-time Policy Steering via Vision and Touch</papertitle>
<br>
Y. Wu, Z. Si, Z Temel, O. Kroemer, A. Bajcsy
<br>
<em>arXiv</em>, 2026
<br>
<a class="button-paper" href="https://arxiv.org/pdf/2606.14981"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://yilin-wu98.github.io/vital_website/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/wu_2026_weaver.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation</papertitle>
<br>
A. Jain*, Y. Wu*, J.Farebrother, G. Swamy, A. Bajcsy
<br>
<em>arXiv</em>, 2026
<br>
<a style="font-size: 12px; color:grey">* equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2606.13672"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://arnavkj1995.github.io/WEAVER/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/arnavkj1995/WEAVER"><i class="fa fa-external-link"></i> code</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/jeong_2026_langpolicy.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Learning What to Say to Your VLA: <br>Mostly Harmless Vision Language Action Model Steering</papertitle>
<br>
H.J. Jeong, G. Swamy, A. Bajcsy
<br>
<em>arXiv</em>, 2026
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2606.12299"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://hyunjoe.xyz/LanguagePolicy"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/seo_2026_stressdream.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement</papertitle>
<br>
J. Seo, S. Veer, R. Tian, W. Ding, A. Sharma, K. Leung, E. Schmerling, M. Pavone, A. Bajcsy
<br>
<em>arXiv</em>, 2026
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2606.00267"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://junwon.me/StressDream/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/StressDream"><i class="fa fa-code"></i> code</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/peters_2026_codi.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations</papertitle>
<br>
L. Peters, L. Ferranti<sup>†</sup>, J. Alonso-Mora<sup>†</sup>, A. Bajcsy<sup>†</sup>
<br>
<em>arXiv</em>, 2026
<br>
<a style="font-size: 12px; color:grey">† equal advising</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2605.11485"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://autonomousrobots.nl/paper_websites/codi"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/kim_2026_multi.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>How Well Do Latent World Models Understand Partially Observable Safety Constraints?</papertitle>
<br>
M. Kim*, K. Nakamura*, A. Bajcsy
<br>
<em>arXiv</em>, 2026
<br>
<a style="font-size: 12px; color:grey">* equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2510.06492"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/multisafe/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/sagheb_2025.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>A Unified Framework for Robots that Influence Humans over Long-Term Interaction</papertitle>
<br>
S. Sagheb, S. Parekh, R. Pandya, Y. Mun, K. Driggs-Campbell, A. Bajcsy, D.P. Losey
<br>
<em>arXiv</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2503.14633"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-video" href="https://www.youtube.com/watch?v=nPekTUfUEbo"><i class="fa fa-video-camera" aria-hidden="true"></i> video</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/tian_ijrr_2025.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment</papertitle>
<br>
R. Tian, Y. Wu, C. Xu, M. Tomizuka, J. Malik, A. Bajcsy
<br>
<em>arXiv</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2412.04835"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://sites.google.com/berkeley.edu/rapl"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/bajcsy_2024.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Human–AI Safety: A Descendant of Generative AI and Control Systems Safety</papertitle>
<br>
A. Bajcsy and J. Fisac
<br>
<em>arXiv</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2405.09794"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
</tbody>
</table>
<!-- PUBS HEADING -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding-left:20px;padding-bottom:0px;width:100%;vertical-align:middle">
<heading><b>Publications</b></heading>
</td>
</tr>
</tbody>
</table>
<!-- PUBS -->
<!-- begin publication list -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/tian_reward_2026_v2.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Good Embodied Reward Models Need Bad Behavior Data</papertitle>
<br>
R. Tian, Y. Wu, A. Bajcsy
<br>
<em>International Conference on Machine Learning (ICML)</em>, 2026
<br><p style="display:inline;color:#f18800;">(Spotlight, acceptance rate 5%)</p>
<br>
<a class="button-paper" href="./pdf/tian_icml_26_position.pdf"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<video width="200px" style="border-radius:5%/10%" controls autoplay muted loop>
<source src="paper_imgs/yuan_ups_2026.mp4" type="video/mp4" >
</video>
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering</papertitle>
<br>
J. Yuan*, Y. Wu*, A. Bajcsy
<br>
<em>Robotics: Science and Systems (RSS)</em>, 2026
<br>
<a style="font-size: 12px; color:grey">* equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2602.22474"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://jessie-yuan.github.io/ups/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/agrawal_2025.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>AnySafe: Adapting Latent Safety Filters at Runtime <br>via Safety Constraint Parameterization in the Latent Space</papertitle>
<br>
S. Agrawal*, J. Seo*, K. Nakamura, R. Tian, A. Bajcsy
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2026
<br>
<a style="font-size: 12px; color:grey">* equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2509.19555"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://any-safe.github.io/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/AnySafeReachability"><i class="fa fa-code"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/chen_2025_roi.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Reimagination with Test-time Observation Interventions: <br>Distractor-Robust World Model Predictions for Visual Model Predictive Control</papertitle>
<br>
Y. Chen, J. Wei, C. Xu, B. Li, M. Tomizuka, A. Bajcsy, R. Tian
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2026
<br><p style="display:inline;color:#f18800;">(Best paper finalist at RSS workshop on OOD generalization)</p>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2506.16565"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<tr> <td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/yilin_2025_seal.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification</papertitle>
<br>
Y. Wu, A. Li, T. Hermans, F. Ramos, A. Bajcsy<sup>†</sup>, C. Pérez-D’Arpino<sup>†</sup>
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2026
<br>
<p style="display:inline;color:#f18800;">(Best paper at CVPR workshop on Multi-modal Reasoning for Agentic Intelligence)</p>
<a style="font-size: 12px; color:grey">† equal advising</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2510.16281"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://yilin-wu98.github.io/steering-reasoning-vla/"><i class="fa fa-external-link"></i></i> website</a>
 
<a class="button-code" href="https://github.com/NVlabs/Libero-10-r"><i class="fa fa-code"></i> simulation code</a>
 
<a class="button-code" href="https://github.com/NVlabs/actalign"><i class="fa fa-code"></i> algo code</a>
 
<a class="button-code" href="https://huggingface.co/datasets/nvidia/libero-r-datasets"><i class="fa fa-code"></i> dataset</a>
<p></p>
</td>
</tr>
<tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<video width="200px" style="border-radius:5%/10%" controls autoplay muted loop>
<source src="paper_imgs/nakamura_l4dc2026-crop.mp4" type="video/mp4">
</video>
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints</papertitle>
<br>
K. Nakamura, A.L. Bishop, S. Man, A.M. Johnson, Z. Machester, A. Bajcsy</sup>
<br>
<em> Learning for Dynamics and Control Conference (L4DC)</em>, 2026
<br><p style="display:inline;color:#f18800;">(Oral, acceptance rate ∼9%)</p>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2511.18606"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/latent_cbf/"><i class="fa fa-external-link"></i></i> website</a>
<p></p>
</td>
</tr>
<tr> <td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/pandya_2025_recovery.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails</papertitle>
<br>
R. Pandya, M. Bland, D.P. Nguyen, C. Liu, J.F. Fisac<sup>†</sup>, A. Bajcsy<sup>†</sup>
<br>
<em>International Association for Safe and Ethical AI (IASEAI)</em>, 2026
<br>
<a style="font-size: 12px; color:grey">† equal advising</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2510.13727"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/gupta_2025.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence</papertitle>
<br>
P. Gupta, H. Admoni, A. Bajcsy
<br>
<em>Conference on Robot Learning (CoRL)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2506.12678"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://adapting-by-analogy.github.io/project-page/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/seo_2025_UNISafe.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>UNISafe: Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures</papertitle>
<br>
J. Seo, K. Nakamura, A. Bajcsy
<br>
<em>Conference on Robot Learning (CoRL)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2505.00779"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/UNISafe/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/UNISafe/tree/isaaclab"><i class="fa fa-code"></i> code</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/UNISafe/blob/isaaclab/safety_filtering_demo.ipynb"><i class="fa fa-external-link"></i> demo</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/jeong_2024_v2.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Robots that Suggest Safe Alternatives</papertitle>
<br>
H.J. Jeong, R. Chen, and A. Bajcsy
<br>
<em>International Conference on Intelligent Robots and Systems (IROS)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2409.09883v2"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/salt/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/qadri_2025_secret_brt.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Your Learned Constraint is Secretly a Backward Reachable Tube</papertitle>
<br>
M. Qadri, G. Swamy, J. Francis, M. Kaess, A. Bajcsy
<br>
<em>Reinforcement Learning Conference (RLC)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2501.15618"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/ICL-BRT"><i class="fa fa-code"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/latent_safety_frontfig.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis</papertitle>
<br>
K. Nakamura, L. Peters, A. Bajcsy
<br>
<em>Robotics: Science and Systems (RSS) </em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2502.00935"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://kensukenk.github.io/latent-safety/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/latent-safety"><i class="fa fa-code" aria-hidden="true"></i> code</a>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/wu_2024_forewarn.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment</papertitle>
<br>
Y. Wu, R. Tian, G. Swamy, A. Bajcsy
<br>
<em>Robotics: Science and Systems (RSS) </em>, 2025
<br><p style="display:inline;color:#f18800;">(Best paper award at ICLR workshop on world models)</p>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2502.01828"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://yilin-wu98.github.io/forewarn/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/Forewarn/tree/main"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/li_2024.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Intent Demonstration in General-Sum Dynamic Games <br> via Iterative Linear-Quadratic Approximations</papertitle>
<br>
J. Li, A. Siththaranjan, S. Sojoudi, C. Tomlin, A. Bajcsy
<br>
<em>IEEE Transactions on Control Systems Technology (TCST)</em>, 2024
<br>
<br>
<a class="button-paper" href="http://arxiv.org/abs/2402.10182"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/jamesjingqili/Active-Intent-Demonstration-in-Games"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/santos_li_2024_langSafe.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Updating Robot Safety Representations Online <br> from Natural Language Feedback</papertitle>
<br>
L. Santos*, Z. Li*, L. Peters, S. Bansal<sup>†</sup>, A. Bajcsy<sup>†</sup>
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2025
<br>
<a style="font-size: 12px; color:grey">* equal contribution, † equal advising</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2409.14580"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/language-informed-safe-navigation/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/lang-reachability"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/pandya_2024.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Robots that Learn to Safely Influence via Prediction-Informed <br> Reach-Avoid Dynamic Games</papertitle>
<br>
R. Pandya, C. Liu, A. Bajcsy
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2409.12153"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/safe-influence/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/zhao_conformal_2024.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Conformalized Interactive Imitation Learning: <br> Handling Expert Shift and Intermittent Feedback</papertitle>
<br>
M. Zhao, R.Simmons, H.Admoni, A. Ramdas<sup>†</sup>, A. Bajcsy<sup>†</sup>
<br>
<em>International Conference on Learning Representations (ICLR)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2410.08852"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/conformalized-interactive-il/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/yang_agentsim_2024.gif" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos</papertitle>
<br>
G. Yang, A. Bajcsy, S. Saito*, A. Kanazawa*
<br>
<em>International Conference on Learning Representations (ICLR)</em>, 2025
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2410.16259"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://gengshan-y.github.io/agent2sim-www/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/nakamura_2024_hardware.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Not All Errors Are Made Equal: <br> A Regret Metric for Detecting System-level Trajectory Prediction Failures</papertitle>
<br>
K. Nakamura, R. Tian, A. Bajcsy
<br>
<em>Conference on Robot Learning (CoRL)</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2403.04745"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://cmu-intentlab.github.io/not-all-errors/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/CMU-IntentLab/not-all-errors"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/thakkar_2023.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Adaptive Human Trajectory Prediction via Latent Corridors</papertitle>
<br>
N. Thakkar, K. Mangalam, A. Bajcsy, J. Malik
<br>
<em>European Conference on Computer Vision (ECCV)</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2312.06653"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://neerja.me/atp_latent_corridors/"><i class="fa fa-external-link"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/zhao_2024.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Conformalized Teleoperation: Confidently Mapping <br> Human Inputs to High-Dimensional Robot Actions</papertitle>
<br>
M. Zhao, R. Simmons, H. Admoni, A. Bajcsy
<br>
<em>Robotics: Science and Systems (RSS)</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2406.07767"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/bajcsy_sigbovik-2024.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>An Optimal Control Approach to Graphic Design</papertitle>
<br>
A. Bajcsy
<br>
<em>SIGBOVIK</em>, 2024
<br>
<br>
<a class="button-paper" href="./pdf/bajcsy-SIGBOVIK.pdf"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/lekeufack2024conformal.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Conformal Decision Theory: Safe Autonomous Decisions without Distributions</papertitle>
<br>
J. Lekeufack*, A.N. Angelopoulos*, A. Bajcsy*, M.I. Jordan, J. Malik
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2024
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2310.05921"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://conformal-decision.github.io/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/Jordylek/conformal-decision"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<video width="200px" style="border-radius:5%/10%" controls autoplay muted loop>
<source src="paper_imgs/bajcsy_vision_2023.mp4" type="video/mp4">
</video>
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Learning Vision-Based Pursuit-Evasion Robot Policies</papertitle>
<br>
A. Bajcsy*, A. Loquercio*, A. Kumar, J. Malik
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2024
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2308.16185"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://abajcsy.github.io/vision-based-pursuit/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/abajcsy/vision-based-pursuit/tree/main"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/tian_2023_visual.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>What Matters to <i>You</i>? Towards Visual Representation Alignment for Robot Learning</papertitle>
<br>
R. Tian, C. Xu, M. Tomizuka, J. Malik, A. Bajcsy
<br>
<em>International Conference on Learning Representations (ICLR)</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2310.07932"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<!--   -->
<!-- <a class="button-website" href="https://conformal-decision.github.io/"><i class="fa fa-external-link"></i> website</a> -->
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/mehta_2023.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>StROL: Stabilized and Robust Online Learning from Humans</papertitle>
<br>
S.A. Mehta, F. Meng, A. Bajcsy, D.P. Losey
<br>
<em>Robotics and Automation Letters (RA-L)</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2308.09863"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-video" href="https://www.youtube.com/watch?v=uDGpkvJnY8g"><i class="fa fa-video-camera" aria-hidden="true"></i> video</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/peters_2023.gif" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Contingency Games for Multi-Agent Interaction</papertitle>
<br>
L. Peters, A. Bajcsy, C.Y Chiu, D. Fridovich-Keil, F. Laine, L. Ferranti, J. Alonso-Mora
<br>
<em>Robotics and Automation Letters (RA-L)</em>, 2024
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2304.05483"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-video" href="https://www.youtube.com/watch?v=icvT74C3LXo"><i class="fa fa-video-camera" aria-hidden="true"></i> video</a>
 
<a class="button-website" href="https://lasse-peters.net/pub/contingency-games/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/lassepe/peters2024ral-code"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle">
<img src="paper_imgs/hu_2023.png" style="border-radius:5%/10%;width:200px">
</td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy</papertitle>
<br>
H. Hu*, Z. Zhang*, K. Nakamura, A. Bajcsy, J.F. Fisac
<br>
<em>Conference on Robot Learning (CoRL)</em>, 2023
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2309.01267"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-website" href="https://saferoboticslab.github.io/Belief-Game/"><i class="fa fa-external-link"></i> website</a>
 
<a class="button-code" href="https://github.com/SafeRoboticsLab/Belief-Game/"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/tian_2023.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Towards Modeling and Influencing the Dynamics of Human Learning</papertitle>
<br>
R. Tian, M. Tomizuka, A. Dragan, A. Bajcsy
<br>
<em>International Conference on Human-Robot Interaction (HRI)</em>, 2023
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2301.00901"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-video" href="https://www.youtube.com/watch?v=KGsVm0qXDAc"><i class="fa fa-video-camera" aria-hidden="true"></i> video</a>
 
<a class="button-website" href="https://sites.google.com/berkeley.edu/midle"><i class="fa fa-external-link" aria-hidden="true"></i> website</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/shahab_2023.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Towards Robots that Influence Humans over Long-Term Interaction</papertitle>
<br>
S. Sagheb, Y. Mun, N. Ahmadian, B.A. Christie, A. Bajcsy, K. Driggs-Campbell, D.P. Losey
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2023
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2209.10588"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-video" href="https://www.youtube.com/watch?v=ydO83cgjZ2Q"><i class="fa fa-video-camera" aria-hidden="true"></i> video</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/leung_2022.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts</papertitle>
<br>
K. Leung*, A. Bajcsy*, E. Schmerling, M. Pavone
<br>
<em>arXiv</em>, 2022
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2107.14412"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/tian_2022.gif" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models</papertitle>
<br>
R. Tian*, L. Sun*, A. Bajcsy*, M. Tomizuka, A.D. Dragan
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2022
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2109.14700"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/thomasrantian/Confidence-aware-game-theoretic-BRT"><i class="fa fa-code" aria-hidden="true"></i> code</a>
 
<a class="button-talk" href="https://www.youtube.com/watch?v=YZlwMxepGtc&list=PLjbUVJgrbvfnyEXcYwEsTTLnsHu9_cuJa&index=5"><i class="fa fa-volume-up" aria-hidden="true"></i> talk</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/losey_2021.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections</papertitle>
<br>
D.P. Losey, A. Bajcsy, M.K. O'Malley, A.D. Dragan
<br>
<em>International Journal of Robotics Research (IJRR)</em>, 2021
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2107.02349"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/bajcsy_2021.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Analyzing Human Models that Adapt Online</papertitle>
<br>
A. Bajcsy, A. Siththaranjan, C.J. Tomlin, A.D. Dragan
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2021
<br>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2103.05746"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/abajcsy/pred_analyzer"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/ratner_2021.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Efficient Dynamics Estimation with Adaptive Model Sets</papertitle>
<br>
E. Ratner, A. Bajcsy, C.J. Tomlin, A.D. Dragan
<br>
<em>IEEE Robotics and Automation Letters (RA-L)</em>, 2021
<br>
<br>
<a class="button-paper" href="https://ieeexplore.ieee.org/document/9357896"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/turtlebot_human.gif" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>A Robust Control Framework for Human Motion Prediction</papertitle>
<br>
A. Bajcsy, S. Bansal, E. Ratner, C.J. Tomlin, A.D. Dragan
<br>
<em>IEEE Robotics and Automation Letters (RA-L)</em>, 2020
<br>
<br>
<a class="button-paper" href="https://ieeexplore.ieee.org/abstract/document/9210199"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/abajcsy/hallucinate"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/bobu_2020.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections</papertitle>
<br>
A. Bobu, A. Bajcsy, J.F. Fisac, S. Deglurkar, A.D. Dragan
<br>
<em>IEEE Transactions on Robotics (T-RO)</em>, 2020
<br><p style="display:inline;color:#f18800;">(Honorable Mention for the 2020 IEEE T-RO Best Paper Award)</p>
<br>
<a class="button-paper" href="https://arxiv.org/abs/2002.00941"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/andreea7b/jaco_learning"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/bansal_2020.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning</papertitle>
<br>
S. Bansal*, A. Bajcsy*, E. Ratner*, A.D. Dragan, C.J. Tomlin
<br>
<em>International Conference on Robotics and Automation (ICRA)</em>, 2020
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="http://arxiv.org/abs/1910.13369"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-video" href="https://www.youtube.com/watch?v=uZi-zIi1S6A"><i class="fa fa-video-camera" aria-hidden="true"></i> video</a>
<p></p>
</td>
</tr>
<td style="padding-left:20px;padding-bottom:20px;width:15%;vertical-align:middle"><img src="paper_imgs/keil_2019.png" style="border-radius:5%/10%;width:200px"></td>
<td style="padding-left:35px;padding-bottom:20px;width:100%;vertical-align:left">
<papertitle>Confidence-aware motion prediction for real-time collision avoidance</papertitle>
<br>
D. Fridovich-Keil*, A. Bajcsy*, J.F. Fisac, S.L. Herbert, S. Wang, A.D. Dragan, C.J. Tomlin
<br>
<em>International Journal of Robotics Research (IJRR)</em>, 2019
<br>
<a style="font-size: 12px; color:grey">* denotes equal contribution</a>
<br>
<a class="button-paper" href="https://journals.sagepub.com/doi/full/10.1177/0278364919859436"><i class="fa fa-file-text" aria-hidden="true"></i> paper</a>
 
<a class="button-code" href="https://github.com/abajcsy/crazyflie_human/tree/abajcsy/dubins_car"><i class="fa fa-code" aria-hidden="true"></i> code</a>
<p></p>
</td>