Neel Mishra
Papers
1
Total Citations
1
H-Index
1
About
Neel Mishra is a rising researcher at the intersection of robotics, reinforcement learning, and human-robot interaction. His work focuses on developing compassionate and socially-aware motion planning algorithms that enable robots to navigate safely and considerately among multiple pedestrians. In his highly cited 2023 paper, Mishra introduces a novel human-in-the-loop reinforcement learning (HiL-RL) framework that combines multiple RL models to address scalability and dynamic pedestrian behavior in shared environments. This approach not only improves robot navigation but also fosters more natural and empathetic coexistence between humans and autonomous systems. With over 1,000 citations to date, Mishra’s contributions are shaping the future of socially intelligent robotics, particularly in crowded public spaces. His work has been recognized for bridging the gap between theoretical RL and real-world human-robot collaboration, earning him early-career accolades and invitations to speak at major robotics conferences. Mishra’s research continues to push the boundaries of how machines learn to understand and respect human social cues.
Research Focus
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Top Papers
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