Zhaojing Yang

RL • Robotics

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Hi! I am a second-year MSCS student at USC. I’m fortunate to work with Zhehui Huang and Prof. Gaurav Sukhatme at RESL and with Prof. Erdem Bıyık at LiraLab. Prior to USC, I received my BEng degree in Computer Science at Shanghai Jiao Tong University.

My research interest lies at the intersection of Reinforcement Learning and Robotics. I’m interested in applying learning methods for optimal robot policies in both simulator and real-world. In the future, I’m aspiring to explore other methods like learning from human feedback and utilizing LLM for robot assistance

News

Jan 29, 2024 Our paper “Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning” is accepted to ICRA 2024! See you in Yokohama!
Jun 15, 2023 Our paper “QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control” is accepted to ICRA 2023 Workshop: The Role of Robotics Simulators for Unmanned Aerial Vehicles.

Publications

  1. quad_avoid.png
    Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning
    Zhehui Huang*, Zhaojing Yang*, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, and Gaurav S Sukhatme
    ICRA 2024
  2. quad_swarm.png
    QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
    Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A Preiss, Zhaojing Yang, and Gaurav S Sukhatme
    ICRA 2023 Workhsop: The Role of Robotics Simulators for Unmanned Aerial Vehicles