Variable Admittance Interaction Control of UAVs via Deep Reinforcement Learning

Author:

Feng Yuting1,Shi Chuanbeibei1,Du Jianrui1,Yu Yushu1,Sun Fuchun2,Song Yixu2

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology,China

2. Tsinghua University,Department of Computer Science and Technology,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Modeling and Control of PADUAV: a Passively Articulated Dual UAVs Platform for Aerial Manipulation*;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning;Drones;2024-04-24

4. Learning Aerial Docking via Offline-to-Online Reinforcement Learning;2024 4th International Conference on Computer, Control and Robotics (ICCCR);2024-04-19

5. Zero-Shot Sim-To-Real Transfer of Robust and Generic Quadrotor Controller by Deep Reinforcement Learning;Communications in Computer and Information Science;2023-11-05

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