Rohan Chandra is currently a postdoctoral research fellow in Texas Robotics, advised by Dr. Joydeep Biswas and Dr. Peter Stone, 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.

News

Jun 2023  Publicity and Social Media Chair for the International Symposium on Multi-Robot & Multi-Agent Systems 2023!
Apr 2023  Finalist for the Charles A. Caramello Distinguished Dissertation Award!
Apr 2023  Organizing the first workshop on RSS 2023 Workshop on Multi-Agent Planning and Navigation in Challenging Environments !
Mar 2023  We developed SocialGym 2 for simulating multi-agent social navigation in indoor environments!
Mar 2023  SocialMAPF will be published in RA-L and presented at IROS'23!
Feb 2023  Appointed as Associate Editor for RA-L!
Jan 2023  Selected for the 2022-2023 Microsoft Future Leaders in Robotics and AI: Celebrating Diversity and Innovation Seminar Series!
Jan 2023  METEOR accepted to ICRA'23!
Dec 2022  Selected for the Rising Stars in AI Symposium 2023 at KAUST (declined)
Oct 2022  New pre-print on arXiv on MAPF with strategic agents with private incentives! (Blue Sky short version accepted to AAAI FSS'23)
Jun 2022  BGAP and GameOpt accepted to IROS'22 and ITSC'22!
Jun 2022  Starting a postdoc at UT Austin !

Research Interests


  1. Multi-agent Planning and Navigation
  2. 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.
  3. Autonomous Driving
  4. I am also interested in continuing to extend autonomous driving to denser, heterogeneous, and more unstructured traffic environments such as that in India.

Awards & Honors


Jan 2023  Selected for the 2022-2023 Microsoft Future Leaders in Robotics and AI: Celebrating Diversity and Innovation Seminar Series!
Feb 2023  Selected for the Rising Stars in AI Symposium 2023, hosted at KAUST (declined)!
Oct 2022  Selected to participate in the Global Sandpit on Trustworthy Human-Machine Teaming!
May 2022  Selected as part of the 2022 RSS Pioneers Workshop!
2020 - 2021  Selected as part of the 2020-2021 cohort (22 selected out of approximately 5, 000 doctoral students at UMD) of Future Faculty Fellows.
Summer 2020  Awarded the Summer Research Fellowship by The Graduate School, UMD.

Professional Activities


Apr 2023  Organizing the first workshop on RSS 2023 Workshop on Multi-Agent Planning and Navigation in Challenging Environments !
Feb 2023  Appointed as Associate Editor for RA-L!
Apr 2022  Organizing the first workshop on Behavior-driven Autonomous Driving in Unstructured Environments at IROS 2022!
Apr 2022  Invited to co-chair the Intelligent Transportation session at ICRA'22 !
January 2022  Invited speaker at the HPIV Workshop at WACV'22.
October 2021  Invited to serve on the program committee for the ICCV'21 MAIR2 Workshop.
July 2021  Invited speaker at the Perception and Control for Autonomous Navigation in Crowded, Dynamic Environments Workshop at RSS'21. Video

Publications

(Refer to google scholar for recent publications.)

Multi-Agent Systems and Planning

Driver Behavior Modeling

Trajectory Prediction

Tracking