Studies in robot teleoperation have been centered around action specifications -- from continuous joint control to discrete end-effector pose control. However, these robot-centric interfaces often require skilled operators with extensive robotics expertise. To make teleoperation accessible to non-expert users, we propose the framework "Scene Editing as Teleoperation" (SEaT), where the key idea is to transform the traditional "robot-centric" interface into a "scene-centric" interface -- instead of controlling the robot, users focus on specifying the task's goal by manipulating digital twins of the real-world objects. As a result, a user can perform teleoperation without any expert knowledge of the robot hardware. To achieve this goal, we utilize a category-agnostic scene-completion algorithm that translates the real-world workspace (with unknown objects) into a manipulable virtual scene representation and an action-snapping algorithm that refines the user input before generating the robot's action plan. To train the algorithms, we procedurally generated a large-scale, diverse kit-assembly dataset that contains object-kit pairs that mimic real-world object-kitting tasks. Our experiments in simulation and on a real-world system demonstrate that our framework improves both the efficiency and success rate for 6DoF kit-assembly tasks. A user study demonstrates that SEaT framework participants achieve a higher task success rate and report a lower subjective workload compared to an alternative robot-centric interface. Video can be found at https://www.youtube.com/watch?v=-NdR3mkPbQQ .
Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation
University of Alberta（阿尔伯塔大学）；Universite de Montreal（蒙特利尔大学）；University of Innsbruck（因斯布鲁克大学）；Alberta Machine Intelligence Institute (Amii)（阿尔伯塔机器智能研究所（Amii））
Intelligent Mode-switching Framework for Teleoperation
James Watt School of Engineering, University of Glasgow（格拉斯哥大学詹姆斯·瓦特工程学院）；School of Electrical and Information Engineering, The University of Sydney（悉尼大学电气与信息工程学院）
Multi-DoF Time Domain Passivity Approach Based Drift Compensation for Telemanipulation
Institute of Robotics and Mechatronics of the German Aerospace Center (DLR)（德国航空航天中心（DLR）机器人与机电一体化研究所）；Department of Electrical Engineering, COPPE, Federal University of Rio de Janeiro (UFRJ)（里约热内卢联邦大学（UFRJ）COPPE电气工程系）
CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation
Center for Artificial Intelligence and Robotics, Shenzhen International Graduate School, Tsinghua University（人工智能与机器人中心，深圳国际研究生院，清华大学）；PKU-Psibot Joint Lab（北京大学-PsiBot联合实验室）；Department of Advanced Manufacturing, Shenzhen International Graduate School, Tsinghua University（先进制造系，深圳国际研究生院，清华大学）
TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation
Shanghai AI Laboratory（上海人工智能实验室）；Zhejiang University（浙江大学）；The Chinese University of Hong Kong（香港中文大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；The University of Hong Kong（香港大学）；Feeling AI（FeelAI）；Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）
WetRobo: A Reproducible Robot Kit for Coding Agents in Biological Laboratories
The University of Tokyo（东京大学）；RIKEN Pioneering Research Institute（日本理化学研究所先驱研究研究所）；New York University（纽约大学）；Google DeepMind（谷歌DeepMind）；National Institute for Materials Science（日本国立材料科学研究所）；RIKEN Center for Advanced Intelligence Project（日本理化学研究所先进智能项目中心）
A study on a Real-Time VR-Based Teleoperation Framework for Manipulator in Dynamic Environment
Department of Robotics, Hanyang University（韩世大学机器人系）；Department of Smart Construction Engineering, Hanyang University（韩世大学智能建造工程系）；Department of Interdisciplinary Robot Engineering Systems, Hanyang University（韩世大学跨学科机器人工程系统系）；School of Smart Convergence Engineering, Hanyang University, Ansan（韩世大学智能融合工程学院，安山）
Stanford University（斯坦福大学）；University of Montpellier（蒙彼利埃大学）；CNRS（法国国家科学研究中心）；Laboratory of Informatics, Robotics and Microelectronics of Montpellier (LIRMM)（蒙彼利埃信息学、机器人学与微电子学实验室（LIRMM））
Bounded haptic teleoperation of a quadruped robot's foot posture for sensing and manipulation
Institute of Perception, Action and Behaviour, School of Informatics, The University of Edinburgh（爱丁堡大学信息学院感知、行动与行为研究所）；Oxford Robotics Institute at the University of Oxford（牛津大学牛津机器人研究所）；School of Computer Science/Department of Electrical and Computer Engineering at McGill University（麦吉尔大学计算机科学学院/电气与计算机工程系）
Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；DeepCybo；ZGCA；ZGCI；Harbin Institute of Technology（哈尔滨工业大学）；Huazhong University of Science and Technology（华中科技大学）；Beihang University（北京航空航天大学）
