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<!--<h2 class="section-title"><i class="fa fa-user"></i>Introduction</h2>-->
<div class="summary">

<b>Rohan Chandra</b> is currently a postdoctoral research fellow in <a href="https://robotics.utexas.edu/">Texas Robotics</a>, advised by <a href="https://www.joydeepb.com/">Dr. Joydeep Biswas</a> and <a href="https://www.cs.utexas.edu/~pstone/">Dr. Peter Stone</a>, at the University of Texas, Austin. Rohan obtained his B.Tech from the Delhi Technological University, New Delhi in 2016 and completed his MS and PhD in 2018 and 2022 from the University of Maryland advised by Dr. Dinesh Manocha. His doctoral thesis focused on autonomous driving in dense, heterogeneous, and unstructured traffic environments. Rohan is a Microsoft Future Leader in Robotics and AI, KAUST Rising Star in AI 2023, UMD’21 Future Faculty Fellow, RSS’22 Pioneer, and he is a recipient of the UMD’20 summer research fellowship. He has published his work in top computer vision and robotics conferences (CVPR, ICRA, IROS) and has participated in workshops and program committees of leading conferences in robotics, computer vision, artificial intelligence, and machine learning. He has also given invited talks at academic seminars and workshops and has served on robotics panels alongside distinguished faculty.
<b>Rohan Chandra</b> is currently a postdoctoral research fellow in <a href="https://robotics.utexas.edu/" target="_blank">Texas Robotics</a>, advised by <a href="https://www.joydeepb.com/">Dr. Joydeep Biswas</a> and <a href="https://www.cs.utexas.edu/~pstone/" target="_blank">Dr. Peter Stone</a>, at the University of Texas, Austin. His research focuses on algorithms and systems for enabling robots to navigate safely and efficiently among humans, like humans. Rohan obtained his MS and PhD in 2018 and 2022 from the University of Maryland advised by <a href="https://www.cs.umd.edu/people/dmanocha" target="_blank">Dr. Dinesh Manocha</a>, and completed his B.Tech from the Delhi Technological University, New Delhi in 2016. His doctoral thesis focused on <a href="https://drum.lib.umd.edu/handle/1903/29007" target= "_new">autonomous driving in dense, heterogeneous, and unstructured traffic environments</a>.
<br><br>
Rohan is a 2023 Microsoft Future Leader in Robotics and AI, 2023 KAUST Rising Star in AI, 2022 RSS Pioneer, and 2021 UMD Future Faculty Fellow. He is a finalist for the 2022 Charles A. Caramello Distinguished Dissertation Award and a recipient of the UMD 2020 summer research fellowship and the 2023 SNU PhD Award for Autonomous Navigation. His published work appears regularly in top computer vision, AI, and robotics conferences (CVPR, ICRA, IROS) and he is actively involved in participating in workshops and program committees of leading conferences in robotics, computer vision, artificial intelligence, and machine learning. Rohan is serving as an Associate Editor for RA-L.

<br><br>
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<h2 class="section-title"><i class="fa fa-newspaper-o"></i>News</h2>
<b>Dec 2023</b>&nbsp <a href="https://github.com/ut-amrl/SocialGym2" target="_blank">SocialGym 2.0</a> accepted to <a href="https://aaai.org/aaai-conference/" target="_blank">AAAI (demo track) 2024</a>!<br>
<b>Oct 2023</b>&nbsp Won the Best Paper/Presentation Award at the IROS 2023 <a href="https://djhanove.github.io/IROS23_MRS/" target="_blank">Workshop on Advances in Multi-Agent Learning</a> for <a href="https://arxiv.org/pdf/2306.06236.pdf" target="_blank">iPlan</a> ! <br>
<b>Sep 2023</b>&nbsp Won the <a href="https://ippc-iros23.github.io/" target="_blank">SNU PhD Talk Award</a>! <br>
<b>Sep 2023</b>&nbsp <a href="https://arxiv.org/pdf/2306.06236.pdf" target="_blank">iPlan</a> accepted as Oral at CoRL 2023! <br>
<b>Jun 2023</b>&nbsp Publicity and Social Media Chair for the <a href="https://sites.bu.edu/mrs2023/" target="_blank">International Symposium on Multi-Robot & Multi-Agent Systems 2023!</a> <br>
<b>Apr 2023</b>&nbsp Finalist for the <a href="https://gradschool.umd.edu/funding/student-fellowships-awards/distinguished-dissertation-award" target="_blank">Charles A. Caramello Distinguished Dissertation Award!</a> <br>
<b>Apr 2023</b>&nbsp Organizing the first workshop on <a href="https://amrl.cs.utexas.edu/multi-agent-planning-workshop.html" target="new">RSS 2023 Workshop on Multi-Agent Planning and Navigation in Challenging Environments</a> ! <br>
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<br>


<h2 class="section-title"><i class="fa fa-briefcase"></i>Research Interests</h2>
<hr>
<!-- <h2 class="section-title"><i class="fa fa-briefcase"></i>Research Interests</h2>
<hr> -->

<!-- <ol>
<iframe width="1080" height="520" src="https://www.youtube.com/embed/g76nPoRliZ8" title="Microsoft Future Leaders in Robotics and AI Seminar Series, April 14, 2023: Rohan Chandra" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
<li><b>How can autonomous agents navigate like humans?</b></li> Humans move in a decentralized manner avoiding collisions relying only on local information gleaned from their environment. State-of-the-art robot navigation can avoid collisions fairly well. Humans, however, don't <i>just</i> do collision avoidance. We also navigate dense, constrained, and unstructured environments efficiently without getting stuck. This is where autonomous agents fail. How can autonomous agents safely and efficiently reach their goals in dense and constrained environments?
<ol>
<li><b>Multi-agent Planning and Navigation</b></li> I am broadly interested in making robots navigate safely, efficiently, and with social compliance, in challenging environments that include humans. My specific research interests within this domain span decentralized planning under private incentives, physics-informed planning, planning-constrained perception.
<li><b>What are some of the behavioral characteristics that autonomous agents should imbibe?</b></li> Humans take calculated risks all the time to maximize efficiency. You see it when people speed up to overtake slow-moving agents in traffic and crowds. Or when multiple cars arrive at a 4-way intersection: to avoid a stand-off, one driver must either take the initiative and go first, or proactively propose a solution by waving other drivers through the intersection. Can autonomous agents understand and emulate proactive behavior?
<li><b>What is the role of perception in achieving human-like autonomy in challenging environments?</b></li> Back home in India, I used to drive my grandfather's car, that didn't have working wipers, amidst heavy rain all the time. Do autonomous agents really need perfect perception? Given a navigation specification, how much perception quality can agents afford to sacrifice?
</ol> -->

<h2 class="section-title"><i class="fa fa-briefcase"></i>Talks</h2>
<hr>

<ol>
<li>Microsoft Future Leaders in Robotics and AI Seminar Series, 2023.</li>
<iframe width="480" height="320" src="https://www.youtube.com/embed/g76nPoRliZ8" title="Microsoft Future Leaders in Robotics and AI Seminar Series, April 14, 2023: Rohan Chandra" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>

<br><br>

<li>Maryland Robotics Center Student Seminar, 2021.</li>
<iframe width="480" height="320" src="https://www.youtube.com/embed/iWyDBabyQFQ" title="ONLINE Maryland Robotics Student Seminar, March 5, 2021: Rohan Chandra" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>

<li><b>Autonomous Driving</b></li> I am also interested in continuing to extend autonomous driving to denser, heterogeneous, and more unstructured traffic environments such as that in India.
<br><br>

<li>RSS 2021: Perception and Control for Autonomous Navigation in Crowded, Dynamic Environments Workshop (jump to 1:01:28).</li>
<iframe width="480" height="320" src="https://www.youtube.com/embed/EmrReoNQP3s" title="RSS 2021 Workshop: Perception and Control for Autonomous Navigation in Crowded, Dynamic Environments" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>

</ol>
<br><br>

<li>WACV 2022: Hazard Perception in Intelligent Vehicles (HPIV) Workshop (jump to 4:04:04).</li>
<iframe width="480" height="320" src="https://www.youtube.com/embed/jdXfT1V8NTI" title="WACV 2022 Workshop on Hazard Perception in Intelligent Vehicles (HPIV)" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>




</ol>
<!-- <br> -->

<!-- <h2 class="section-title"><i class="fa fa-briefcase"></i>Internships</h2>
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<h2 class="section-title"><i class="fa fa-trophy"></i>Awards & Honors</h2>
<hr>
<b>Sep 2023</b>&nbsp Won the Best Paper/Presentation Award at the IROS 2023 <a href="https://djhanove.github.io/IROS23_MRS/" target="_blank">Workshop on Advances in Multi-Agent Learning</a> for <a href="https://arxiv.org/pdf/2306.06236.pdf" target="_blank">iPlan</a>! <br>
<b>Sep 2023</b>&nbsp Won the <a href="https://ippc-iros23.github.io/" target="_blank">SNU PhD Talk Award</a>! <br>
<b>Jan 2023</b>&nbsp Selected for the <a href="https://robotics.umd.edu/node/1368" target="_blank">2022-2023 Microsoft Future Leaders in Robotics and AI: Celebrating Diversity and Innovation Seminar Series</a>! <br>
<b>Feb 2023</b>&nbsp Selected for the <a href="https://t.co/8SYX0mcaRk" target="_blank">Rising Stars in AI Symposium 2023, hosted at KAUST (declined)</a>! <br>
<b>Oct 2022</b>&nbsp Selected to participate in the <a href="https://bridgingbarriers.utexas.edu/news/good-systems-partners-ukri-trustworthy-autonomous-systems-hub-support-us-uk-research" target="_blank">Global Sandpit on Trustworthy Human-Machine Teaming</a>! <br>
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<div class="item">
<span class="project-title"><h4>Multi-Agent Systems and Planning</h3></span><ul>

<span class="project-title"><h4>Planning and Navigation in Challenging Environments</h3></span><ul>

<li><a href="https://arxiv.org/pdf/2306.06236.pdf" target= "_new"><b>iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement learning</b></a></br>Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha <i>in</i> <b>CoRL 2023 (oral)</b>.</li></br>
<li><a href="https://arxiv.org/pdf/2308.10966.pdf" target= "_new"><b>Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions</b></a></br>Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas, Joydeep Biswas, Peter Stone <i>in</i> <b>arXiv preprint</b>.</li></br>
<li><a href="https://arxiv.org/pdf/2303.05584.pdf" target= "_new"><b>SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces</b></a></br>Rohan Chandra, Zayne Sprague, Jarrett Holtz, Joydeep Biswas <i>in</i> <b>arXiv preprint</b>.</li></br>
<li><a href="https://arxiv.org/pdf/2306.08815.pdf" target= "_new"><b>Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization</b></a></br>Rohan Chandra, Rahul Menon, Zayne Sprague, Arya Anantula, Joydeep Biswas <i>in</i> <b>arXiv preprint</b>.</li></br>
<li><a href="https://ieeexplore.ieee.org/abstract/document/10093969" target= "_new"><b>SocialMapf: Optimal and Efficient Multi-Agent Path Finding With Strategic Agents for Social Navigation</b></a></br>Rohan Chandra, Rahul Maligi, Arya Anantula, Joydeep Biswas<i>in </i> <b>IROS/RAL'23</b>.</li></br>
<li><a href="https://ieeexplore.ieee.org/abstract/document/9921968" target= "_new"><b>GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections</b></a></br>RNilesh Suriyarachchi, Rohan Chandra, John S Baras, Dinesh Manocha <i>in</i> <b>IEEE ITSC'22</b>.</li></br>
<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9689991" target= "_new"><b>GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging</b></a></br>Rohan Chandra, Dinesh Manocha <i>in</i> <b>ICRA/RAL'22</b>.</li></br>
<li><a href="https://arxiv.org/pdf/2109.01896.pdf" target= "_new"><b>Game-Theoretic Planning for Risk-Aware Human Drivers</b></a></br>Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha <i>in</i> <b>ICRA'22</b>.</li></br>
<li><a href="https://arxiv.org/pdf/2011.03748.pdf" target= "_new"><b>B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving</b></a></br>Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha <i>in</i> <b>RAL'22</b>.</li></br>
<li><a href="https://arxiv.org/pdf/2011.03748.pdf" target= "_new"><b>B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving</b></a></br>Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha <i>in</i> <b>IROS/RAL'22</b>.</li></br>


</ul></span>
</div>


<div class="item">
<span class="project-title"><h4>Driver Behavior Modeling</h3></span><ul>
<span class="project-title"><h4>Modeling Agent Behavior</h3></span><ul>


<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9646493" target= "_new"><b>Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
</b></a></br>Rohan Chandra, Aniket Bera, Dinesh Manocha <i>in</i> <b>IEEE Transactions on Intelligent Transportation Systems, 2021</b>.</li></br>
<li><a href="https://openreview.net/pdf?id=NsUqfWtvtV" target= "_new"><b>METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors</b></a></br>Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha <i>in</i> <b>ICRA'23</b>.</li></br>

<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9646493" target= "_new"><b>Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior</b></a></br>Rohan Chandra, Aniket Bera, Dinesh Manocha <i>in</i> <b>IEEE Transactions on Intelligent Transportation Systems, 2021</b>.</li></br>


<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9341720" target= "_new"><b>CMetric: A Driving Behavior Measure Using Centrality Functions</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha <i>in</i> <b>IROS 2020</b>.</li></br>
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<div class="item">
<span class="project-title"><h4>Trajectory Prediction</h3></span><ul>
<span class="project-title"><h4>Perception for Challenging Environments</h3></span><ul>
<li><a href="https://openaccess.thecvf.com/content/WACV2022/papers/Guan_M3DETR_Multi-Representation_Multi-Scale_Mutual-Relation_3D_Object_Detection_With_Transformers_WACV_2022_paper.pdf" target= "_new"><b>M3detr: Multi-representation, multi-scale, mutual-relation 3d object detection with transformers</b></a></br>Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha <i>in</i> <b>WACV 2022</b>.</li></br>
<li><a href="https://openaccess.thecvf.com/content/ICCV2021W/AVVision/papers/Kothandaraman_SS-SFDA_Self-Supervised_Source-Free_Domain_Adaptation_for_Road_Segmentation_in_Hazardous_ICCVW_2021_paper.pdf" target= "_new"><b>SS-SFDA: Self-supervised source-free domain adaptation for road segmentation in hazardous environments</b></a></br>Divya Kothandaraman, Rohan Chandra, Dinesh Manocha <i>in</i> <b>ICCV'21</b>.</li></br>
<li><a href="https://openaccess.thecvf.com/content/ICCV2021W/MAIR2/papers/Kothandaraman_BoMuDANet_Unsupervised_Adaptation_for_Visual_Scene_Understanding_in_Unstructured_Driving_ICCVW_2021_paper.pdf" target= "_new"><b>BoMuDANet: unsupervised adaptation for visual scene understanding in unstructured driving environments</b></a></br>Divya Kothandaraman, Rohan Chandra, Dinesh Manocha <i>in</i> <b>ICCV'21</b>.</li></br>

<li><a href= "https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9126166" target= "_new"><b>Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs</b></a></br>Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha <i>in</i> <b>RAL/IROS 2020</b>.</li></br>

<li><a href= "https://dl.acm.org/doi/pdf/10.1145/3359999.3360495" target= "_new"><b>RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha <i>in</i> <b>ACM CSCS 2019</b>.</li></br>

<li><a href= "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chandra_TraPHic_Trajectory_Prediction_in_Dense_and_Heterogeneous_Traffic_Using_Weighted_CVPR_2019_paper.pdf" target= "_new"><b>TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha <i>in</i> <b>CVPR 2019</b>.</li></br>
<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9196612" target= "_new"><b>RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha <i>in</i> <b>ICRA 2020</b>.</li></br>


</ul></span>
</div>

<div class="item">
<span class="project-title"><h4>Tracking</h3></span><ul>

<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9196612" target= "_new"><b>RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha <i>in</i> <b>ICRA 2020</b>.</li></br>

<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8968470" target= "_new"><b>DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha <i>in</i> <b>IROS 2019</b>.</li></br>

<li><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8968470" target= "_new"><b>DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features</b></a></br>Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha <i>in</i> <b>IROS 2019</b>.</li></br>

</ul></span>
</div>
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