Rohan Chandra

Rohan Chandra is a Postdoctoral Research Fellow at the University of Texas at Austin, specializing in algorithms and systems for robot navigation among humans. He is affiliated with Texas Robotics and advised by Dr. Joydeep Biswas and Dr. Peter Stone.

• Ph.D. and M.S. in Computer Science, University of Maryland (2018-2022)
• B.Tech in ECE, Delhi Technological University (2012-2016)

His research focuses on enabling robots to navigate safely and efficiently in human-centric environments, with applications to autonomous driving and multi-agent systems. Key areas include game-theoretic planning, control barrier functions, and social navigation algorithms.

Recent work trends include multi-agent reinforcement learning (e.g., iPLAN, SocialMAPF), control barrier functions (e.g., Neural Differentiable ICBF, LIVEPOINT), and social navigation datasets (e.g., SOCIALGYM 2.0, METEOR). Publications appear in top conferences like ICRA, IROS, CVPR, and IEEE Transactions.

• 2023 Microsoft Future Leader in Robotics and AI
• 2023 KAUST Rising Star in AI
• 2022 RSS Pioneer
• 2023 SNU PhD Award for Autonomous Navigation
• Best Paper/Presentation at IROS 2023 Workshop on Multi-Agent Learning

He has served as Associate Editor for RA-L, organized workshops at RSS and IROS, and contributed to program committees for ICCV, ICRA, and WACV. His work involves developing systems for behavior prediction, robust trajectory planning, and human-aware navigation in unstructured environments.