Jaskaran Grover
Papers
14
Total Citations
157
H-Index
8
About
Jaskaran Grover is a robotics researcher whose work spans multi-robot systems, motion planning, and robot learning. He is perhaps best known for his sustained investigation into a deceptively fundamental challenge in multi-robot coordination: deadlock. Through a series of influential papers — including "Why Does Symmetry Cause Deadlocks?" (15 citations), "Deadlock Analysis and Resolution for Multi-robot Systems" (18 citations), and "The Before, During, and After of Multi-robot Deadlock" (22 citations) — Grover has systematically characterized how control barrier function-based reactive controllers give rise to deadlock, and developed principled frameworks for its prevention and resolution. His work on noncooperative herding (15 citations) extends these ideas to adversarial multi-agent settings, demonstrating real-world experimental validity. Beyond multi-robot coordination, Grover has made notable contributions to geometric motion planning for low-Reynolds-number swimmers, including three-dimensional extensions of Purcell's iconic three-link model and ferromagnetic micro-robots. His early work on hierarchical reinforcement learning for behavior sequencing (19 citations) reflects a broad interest in intelligent robot autonomy. With over 140 cumulative citations across diverse topics, Grover's research bridges rigorous mathematical theory with practical robotic systems.
Research Focus
Key Achievements
Top Papers
- 1The Before, During, and After of Multi-robot Deadlock22 citations · 2022
- 2Hierarchical Reinforcement Learning for Sequencing Behaviors19 citations · 2018
- 3Deadlock Analysis and Resolution for Multi-robot Systems18 citations · 2021
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- 5Why Does Symmetry Cause Deadlocks?15 citations · 2020
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