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About us
The WrightEagle.AI team, formerly known as WrightEagle from the University of Science and Technology of China (USTC), won second place in RoboCup@Home in 2011, 2013, and 2015, and claimed first place in 2014. Professor Xiaoping Chen, who supervised the WrightEagle team, now serves as an advisor to the WrightEagle.AI team. Adding “.AI” to our name signifies a new era — unlike a decade ago, we are now rebuilding our robotic software system through artificial intelligence technologies.
Competions
- RoboCup@Home3rd2016
- RoboCup@Home2nd2015
- RoboCup@Home1st2014
- RoboCup@Home2nd2013
- RoboCup@Home2nd2011
Instructors
Members
Juniors
Robots
Publications
- Duan, Yifan, et al. "Cellmap: Enhancing lidar slam through elastic and lightweight spherical map representation." 2025 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2025.
- Lin, Xinrui, et al. "Improving efficiency of answer set planning with rough solutions from large language models for robotic task planning." Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. 2025.
- Yu W, Peng J, Ying Y, et al. Mhrc: Closed-loop decentralized multi-heterogeneous robot collaboration with large language models[J]. arXiv preprint arXiv:2409.16030, 2024.
- Yu, Wenhao, et al. "Pathrl: An end-to-end path generation method for collision avoidance via deep reinforcement learning." 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024.
- Zhang, Xuyang, et al. "NaviFormer: A Data-Driven Robot Navigation Approach via Sequence Modeling and Path Planning with Safety Verification." 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024.
- Yu, Wenhao, et al. "Ldp: A local diffusion planner for efficient robot navigation and collision avoidance." 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024.
- Zhang, Xinran, et al. "Map++: Towards user-participatory visual SLAM systems with efficient map expansion and sharing." Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. 2024.
- Qiu, Quecheng, et al. "Training a non-cooperator to identify vulnerabilities and improve robustness for robot navigation." IEEE Robotics and Automation Letters 8.8 (2023): 4465-4472.
- Chen, Yuan, et al. "Deep reinforcement learning for localizability-enhanced navigation in dynamic human environments." arXiv preprint arXiv:2303.12354 (2023).
- Qiu, Quecheng, et al. "Learning to socially navigate in pedestrian-rich environments with interaction capacity." 2022 International Conference on Robotics and Automation (ICRA). IEEE, 2022.
The publications listed above represent the team's achievements in recent years. For the components utilized in the RoboCup competition, please refer to our Team Description Paper.
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