55 citations · 84 across the 4 of their papers we have counts for
5 papers
Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
Utsav Patel, Nithish Kumar, Adarsh Jagan Sathyamoorthy +1
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…
COVID-Robot: Monitoring Social Distancing Constraints in Crowded Scenarios
Adarsh Jagan Sathyamoorthy, Utsav Patel, Yash Ajay Savle +2
Maintaining social distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically dete…
Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning
Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy +1
We present a novel learning-based collision avoidance algorithm, CrowdSteer, for mobile robots operating in dense and crowded environments. Our approach is end-to-end and uses mult…
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
Adarsh Jagan Sathyamoorthy, Utsav Patel, Tianrui Guan +1
We present Frozone, a novel algorithm to deal with the Freezing Robot Problem (FRP) that arises when a robot navigates through dense scenarios and crowds. Our method senses and exp…
DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors
Adarsh Jagan Sathyamoorthy, Jing Liang, Utsav Patel +3
We present DenseCAvoid, a novel navigation algorithm for navigating a robot through dense crowds and avoiding collisions by anticipating pedestrian behaviors. Our formulation uses…