Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
Yi Chen, Yuying Ge, Weiliang Tang, Yizhuo Li, Yixiao Ge, Mingyu Ding, Ying Shan, Xihui Liu
机构
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The University of Hong Kong(香港大学)
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ARC Lab, Tencent PCG(腾讯PCG实验室)
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The Chinese University of Hong Kong(香港中文大学)
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University of California, Berkeley(加州大学伯克利分校)
Hoecken-D Hand: A Novel Robotic Hand for Linear Parallel Pinching and Self-Adaptive Grasping
Wentao Guo, Wenzeng Zhang
机构
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Computer Science and Technology, Beijing Institute of Technology, China(计算机科学与技术,北京理工大学,中国)
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Laboratory of Robotics, X-Institute(机器人实验室,X研究所)
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Dept. of Mechanical Engineering, Tsinghua University, Beijing, China(机械工程系,清华大学,北京,中国)
CommentsAccepted by IEEE International Conference on Robotics and Biomimetics (ROBIO) 2025, Chengdu, China. This version includes updated contact information
Prescribed Performance Control of Deformable Object Manipulation in Spatial Latent Space
Ning Han, Gu Gong, Bin Zhang, Yuexuan Xu, Bohan Yang, Yunhui Liu, David Navarro-Alarcon
机构
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Department of Mechanical Engineering, The Hong Kong Polytechnic University(机械工程系,香港理工大学)
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T Stone Robotics Institute, Department of Mechanical and Automation Eng., The Chinese University of Hong Kong(T Stone机器人研究所,机械与自动化工程系,香港中文大学)
Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase Transitions in the Perturbed Culture
François Durand
专题命中
机器人操作
:manipulation(title,abstract)
Journal ref24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), International Foundation for Autonomous Agents and Multiagent Systems, May 2025, Detroit (Michigan), United States. pp.658-666
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
Weijie Shen, Yitian Liu, Yuhao Wu, Zhixuan Liang, Sijia Gu, Dehui Wang, Tian Nian, Lei Xu, Yusen Qin, Jiangmiao Pang, Xinping Guan, Xiaokang Yang, Yao Mu
机构
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MoE key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University(人工智能混合专家实验室,人工智能研究所,上海交通大学)
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School of Automation and Intelligent Sensing, Shanghai Jiao Tong University(自动化与智能感知学院,上海交通大学)
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School of Computer Science, Shanghai Jiao Tong University(计算机科学学院,上海交通大学)
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Shanghai AI Laboratory(上海人工智能实验室)
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Tsinghua Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院,清华大学)
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The University of Hong Kong(香港大学)
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Tongji University(同济大学)
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D-Robotics
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Key Laboratory of System Control and Information Processing, Ministry of Education of China(系统控制与信息处理重点实验室,中华人民共和国教育部)
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Shanghai Key Laboratory of Integrated Administration Technologies for Information Security(上海信息安全管理集成技术重点实验室)
Journal refCantini, R., Orsino, A., Ruggiero, M., Talia, D. Benchmarking adversarial robustness to bias elicitation in large language models: scalable automated assessment with LLM-as-a-judge. Mach Learn 114, 249 (2025)