Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds

Utsav Patel
Utsav Patel
Nithish Kumar
Nithish Kumar
Adarsh Jagan Sathyamoorthy
Adarsh Jagan Sathyamoorthy
Cited by: 0|Bibtex|Views1
Other Links: arxiv.org

Abstract:

We present a novel Deep Reinforcement Learning (DRL) based policy for mobile robot navigation in dynamic environments that computes dynamically feasible and spatially aware robot velocities. Our method addresses two primary issues associated with the Dynamic Window Approach (DWA) and DRL-based navigation policies and solves them by usin...More

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