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新闻动态

活动回顾｜Agent for Human第一期企业Agent挑战黑客松圆满完成
2026-05-28
创新性策略实现微纳集群过程控制，成果发表在IEEE T-RO
2026-05-19
AIRS科艺作品《微纳山水》入选威尼斯国际艺术双年展中国国家馆
2026-05-18
“APEC研究中心联席会议青年学者论坛”于港中大（深圳）举办，青年学者走进AIRS
2026-05-11
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活动预告

4月
2026
21
Tuesday
AIRS in the AIR
AIRS in the AIR |语义通信系列讲座
AIRS
12月
04
AIRS in the AIR
AIRS in the AIR | 公共政策与具身智能研讨会
AIRS
11月
18
AIRS in the AIR
AIRS in the AIR | 仿人机器人运动控制与技能学习
AIRS
9月
26
AIRS in the AIR
AIRS in the AIR | 具身智能大赛道下灵巧手生态发展与智能末端驱动
AIRS
9月
11
AIRS in the AIR
AIRS in the AIR | 信息设计的机器学习与大语言模型方法
AIRS
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AIRS Channel

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AI要逆天啦（上集）
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学术发表

IEEE Transactions on Robotics
Deep Learning-Based Process Control of Microrobot Swarms Guided by Phase Diagrams, Yuezhen Liu, Yifan Wu, Yu Liu, Hui Chen, Yibin Wang, Xingzhou Du, Jiangfan Yu
ACM Transactions on Cyber-Physical Systems
AIRSPEED: An Open-source Data Production Platform for Embodied Artificial Intelligence, Xuan Xia, Xianqiao Tong, Bo Yu, Jialin Jiao, Xinmin Ding, Xing He, Hongjun Zhou, Haoran Tong, Yufei Lin, Tongyi Shen, Ning Ding, Shaoshan LiuAuthors Info & Claims
Science Robotics
Cross-robot behavior adaptation through intention alignment, Xi Chen, Yuan Gao, Hangxin Liu, Fangkai Yang, Ali Ghadirzadeh, Jun Yang, Bin Liang, Chongjie Zhang, Tin Lun Lam, Song-Chun Zhu
Journal of Bionic Engineering
Design and Control of a Bionic Inspection Robot for Suspension Bridge Main Cables, Shengkai Liu, Chao Wang, Xiaoqiang Yuan and Ning Ding.
Journal of Field Robotics (JFR)
A cascaded strategy with embodied artificial intelligence: forward kinematics solutions for CCRobot-S, Zhenliang Zheng, Yongyuan Xu, Xuchun He, Tin Lun Lam and Ning Ding.
Journal of Field Robotics (JFR)
Developing a Climbing Robot for Stay Cable Maintenance with Security and Rescue Mechanisms, Zhenliang Zheng, Chao Wang, Xiaoli Hu, Lun Zhang, Wenchao Zhang, Yongyuan Xu, Pengfei Liu, Xufang Pang, Tin Lun Lam and Ning Ding.
IEEE Transactions on Robotics (T-RO)
CCRobot-S: A Robotic Cable Climbing Squad Collaborating for Fast Inspection and Heavy-duty Maintenance, Zhenliang Zheng, Ning Ding, Herbert Werner, Feng Ren, Yongyuan Xu, Wenchao Zhang, Xiaoli Hu, Jianguo Zhang, and Tin Lun Lam
International Conference on Learning Representations, ICLR 2026
Context and Diversity Matter: The Emergence of In-Context Learning in World Models, Fan Wang, Zhiyuan Chen, Yuxuan Zhong, Sunjian Zheng, Pengtao Shao, Bo Yu, Shaoshan Liu, Jianan Wang, Ning Ding, Yang Cao, Yu Kang
Annual Conference on Neural Information Processing Systems, NeurIPS 2025
Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds, Fan Wang, Pengtao Shao, Yiming Zhang, Bo Yu, Shaoshan Liu, Ning Ding, Yang Cao, Yu Kang, Haifeng Wang
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