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Nithish K Sanjeev Kumar

2 accepted papers

2022

CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes

RA-L 2022

We present CoMet, a novel approach for computing a group’s cohesion and using that to improve a robot’s navigation in crowded scenes. Our approach uses a novel cohesion-metric that builds on prior work in social psychology. We compute this metric by utilizing various visual features of pedestrians f

Cited by 24SourceScholar
2021

DWA-RL: Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation among Mobile Obstacles

ICRA 2021poster

We present a novel Deep Reinforcement Learning (DRL) based policy to compute dynamically feasible and spatially aware velocities for a robot navigating among mobile obstacles. Our approach combines the benefits of the Dynamic Window Approach (DWA) in terms of satisfying the robot’s dynamics constrai…

Cited by 88SourceScholar