Robot Teleoperation
Robot teleoperation aims to extend human control over robots in remote or hazardous environments, primarily focusing on improving the intuitiveness, safety, and efficiency of the human-robot interaction. Current research emphasizes enhancing teleoperation through advanced interfaces like extended reality (XR) and haptic feedback, addressing challenges like latency and cybersecurity vulnerabilities using techniques such as predictive models and secure communication protocols. These advancements are crucial for applications ranging from minimally invasive surgery and agriculture to space exploration and disaster response, enabling humans to perform complex tasks remotely with greater precision and safety.
Papers
Conveying Surroundings Information of a Robot End-Effector by Adjusting Controller Button Stiffness
Noel Alejandro Avila Campos, Masashi Konyo, Ranulfo Bezerra, Shotaro Kojima, Satoshi Tadokoro
DexH2R: Task-oriented Dexterous Manipulation from Human to Robots
Shuqi Zhao, Xinghao Zhu, Yuxin Chen, Chenran Li, Xiang Zhang, Mingyu Ding, Masayoshi Tomizuka
Mixed Reality Teleoperation Assistance for Direct Control of Humanoids
Luigi Penco, Kazuhiko Momose, Stephen McCrory, Dexton Anderson, Nicholas Kitchel, Duncan Calvert, Robert J. Griffin
Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck
Bipasha Sen, Michelle Wang, Nandini Thakur, Aditya Agarwal, Pulkit Agrawal
Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection
Michael Hagenow, Dimosthenis Kontogiorgos, Yanwei Wang, Julie Shah
Breaking Down the Barriers: Investigating Non-Expert User Experiences in Robotic Teleoperation in UK and Japan
Florent P Audonnet, Andrew Hamilton, Yakiyasu Domae, Ixchel G Ramirez-Alpizar, Gerardo Aragon-Camarasa