Search Results for author: Rahul Krupani

Found 2 papers, 1 papers with code

Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning

no code implementations • 23 Sep 2023 • Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, Gaurav S. Sukhatme

In this work, we propose an end-to-end DRL approach to control quadrotor swarms in environments with obstacles.

Collision Avoidance Deep Reinforcement Learning

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QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control

1 code implementation • 15 Jun 2023 • Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme

In addition to speed, such simulators need to model the physics of the robots and their interaction with the environment to a level acceptable for transferring policies learned in simulation to reality.

Deep Reinforcement Learning Reinforcement Learning (RL)

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