Cited by 186Robot Manipulation and LearningSocial Robot Interaction and HRITeleoperation and Haptic Systems

Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

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Chi, Cheng, Xu, Zhenjia, Pan, Chuer, Cousineau, Eric, Burchfiel, Benjamin, Feng, Siyuan, Tedrake, Russ, Song, Shuran·2024·Robotics: Science and Systems XX

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  • Handheld tools for demonstration still need a system-specific tool or modifications to the robot's original hardware to align the end-effector's physical interactions with the recorded visual observations.

    “While these approaches simplify tool design, they still require a system-specific tool or modifications to a robot's original hardware to align the end-effector's physical interactions and the recorded visual observations.”

    From LEGATO: Cross-Embodiment Imitation Using a Grasping Tool (2025) · cites this paper as [15]

    The Demonstration Interface Design section (page unavailable) says UMI places a GoPro at the same position relative to the same gripper fingers during demonstration and robot deployment to minimize the visual observation gap. The paper also says robot arms can be equipped with a compatible gripper and camera setup. It does not establish that handheld approaches generally require a system-specific tool or modifications to a robot’s original hardware. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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Cited by

Sorted by citations

Authors
Chi, C., Xu, Z., Pan, C., Cousineau, E., Burchfiel, B., Feng, S., Tedrake, R., & Song, S.
Affiliations
  • Columbia University (US)
  • Stanford University (US)
  • Toyota Research Institute (US)
Venue
Robotics: Science and Systems XX
Published
2024-07-15
OpenAlex
W4402354127
Cited by
183
References
0
Citations by year
2026: 62 · 2025: 107 · 2024: 14
FWCI
123.67
Type
conference paper
Language
en
Open access
Locations
Robotics: Science and Systems (publishedVersion)
Funders
  • National Science Foundation (2037101, 2132519)
  • Toyota Research Institute
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
Keywords
robot teaching, human-robot interaction, robot learning from demonstration

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