I am a postdoctoral researcher in the AMRL hosted by Joydeep Biswas. I defended my PhD in April 2022 at the University of Maryland where I worked with Dr. Dinesh Manocha in autonomous driving. I completed my Masters in CS from UMD in 2018 under the guidance of Dr. Tom Goldstein and bachelors in ECE from DTU, India in 2016.
My current research interests include multi-agent robot planning, decision-making, and navigation in unstructured human environments, multi-agent RL, and autonomous driving.
News
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, hosted at KAUST!
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 !
May 2022  Selected as part of the 2022 RSS Pioneers Workshop!
Apr 2022  Organizing the first workshop on Behavior-driven Autonomous Driving in Unstructured Environments !
Apr 2022  Invited to co-chair the Intelligent Transportation session at ICRA'22 !
Feb 2022  2 papers in RAL'22, 2 papers in ICRA'22, and 1 paper in IEEE ITS'21 !
Jan 2022  Invited speaker at the HPIV workshop at WACV'22 !
Internships
2021  In summer of 2021, I completed an internship at NVIDIA in the autonomous driving team under the supervision of Nikolai Smolyanskiy.
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 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
PhD Thesis
Towards Autonomous Driving in Dense, Heterogeneous, and Unstructured Traffic Rohan Chandra.Multi-Agent Systems and Planning
- GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and MergingRohan Chandra, Dinesh Manocha in ICRA/RAL'22.
- Game-Theoretic Planning for Risk-Aware Human DriversRohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha in ICRA'22.
- B-GAP: Behavior-Rich Simulation and Navigation for Autonomous DrivingAngelos Mavrogiannis, Rohan Chandra, Dinesh Manocha in RAL'22.
Driver Behavior Modeling
- Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior Rohan Chandra, Aniket Bera, Dinesh Manocha in IEEE Transactions on Intelligent Transportation Systems, 2021.
- CMetric: A Driving Behavior Measure Using Centrality FunctionsRohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha in IROS 2020.
- Graphrqi: Classifying Driver Behaviors Using Graph SpectrumsRohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha in ICRA 2020.
Trajectory Prediction
- Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMsRohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha in RAL/IROS 2020.
- RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor InputsRohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, Dinesh Manocha in ACM CSCS 2019.
- TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted InteractionsRohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha in CVPR 2019.
Tracking
- RoadTrack: Tracking Road Agents in Dense and Heterogeneous EnvironmentsRohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha in ICRA 2020.
- DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse FeaturesRohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha in IROS 2019.