The Chandra Robot Δutonomy Lab, or CRΔL, is led by Professor Rohan Chandra. CRΔL solves autonomy and mobility problems with the goal of deploying robots in complex dynamic environments.
Dr. Chandra completed a postdoc at UT Austin from 2022 to 2024, advised by Dr. Joydeep Biswas and Dr. Peter Stone. Dr. Chandra obtained his M.S. and Ph.D. in 2018 and 2022 from the GAMMA Lab at the University of Maryland, College Park advised by Dr. Dinesh Manocha. His doctoral thesis focused on autonomous driving in dense, heterogeneous, and unstructured traffic environments.
CRΔL CRΔL rohanchandra@virginia.edu
Aug 2025 A CCI grant was awarded to CRΔL!
Jun 2025 Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds accepted to IROS 2025!
Jun 2025 Prof. Chandra will serve as Area Chair for AAAI 2026.
May 2025 CRΔL teamed up with Prof. Nicola Bezzo's group to lead UVA to 3rd place at 2025 BARN Challenge at ICRA 2025.
May 2025 Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models accepted to RLC 2025!
Mar 2025 Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions accepted to Autonomous Robots 2025!
Mar 2025 LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments accepted to L4DC 2025!
Jan 2025 Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation accepted to ICRA 2025!
Jan 2025 Prof. Chandra received the FY25 Research Interest Group award to organize the 1st Robotics + X Symposium at UVA.
Jan 2025 Prof. Chandra will serve as Area Chair at The Second Reinforcement Learning Conference.
Jun 2025 Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds accepted to IROS 2025!
Jun 2025 Prof. Chandra will serve as Area Chair for AAAI 2026.
May 2025 CRΔL teamed up with Prof. Nicola Bezzo's group to lead UVA to 3rd place at 2025 BARN Challenge at ICRA 2025.
May 2025 Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models accepted to RLC 2025!
Mar 2025 Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions accepted to Autonomous Robots 2025!
Mar 2025 LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments accepted to L4DC 2025!
Jan 2025 Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation accepted to ICRA 2025!
Jan 2025 Prof. Chandra received the FY25 Research Interest Group award to organize the 1st Robotics + X Symposium at UVA.
Jan 2025 Prof. Chandra will serve as Area Chair at The Second Reinforcement Learning Conference.
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