Jilong Wang

According to our database, Jilong Wang authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive legged manipulation: Versatile disturbance predictive control for quadruped robots with robotic arms.

Qingfeng Yao, Cong Wang, Jilong Wang, Linghan Meng, Shuyu Yang, Qifeng Zhang, Donglin Wang

Robotics Auton. Syst., September, 2023

2022

Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning.

Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Hongyin Zhang, Qifeng Zhang, Donglin Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control.

Qingfeng Yao, Jilong Wang, Shuyu Yang, Cong Wang, Linghan Meng, Qifeng Zhang, Donglin Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021

Real-World Dexterous Object Manipulation based Deep Reinforcement Learning.

Qingfeng Yao, Jilong Wang, Shuyu Yang

CoRR, 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Terrain-Aware Risk-Assessment-Network-Aided Deep Reinforcement Learning for Quadrupedal Locomotion in Tough Terrain.

Hongyin Zhang, Jilong Wang, Zhengqing Wu, Yinuo Wang, Donglin Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hierarchical Terrain-Aware Control for Quadrupedal Locomotion by Combining Deep Reinforcement Learning and Optimal Control.

Qingfeng Yao, Jilong Wang, Donglin Wang, Shuyu Yang, Hongyin Zhang, Yinuo Wang, Zhengqing Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021