Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
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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)
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Local Policies Enable Zero-Shot Long-Horizon Manipulation
Dalal, M., Liu, M., Talbott, W. A., Chen, C., Pathak, D., Zhang, J., & Salakhutdinov, R. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11128407 · Cited by 5 · see citing works
MLM: Learning Multi-Task Loco-Manipulation Whole-Body Control for Quadruped Robot With Arm
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PAPRLE: Plug-And-Play Robotic Limb Environment: A Modular Ecosystem for Robotic Limbs
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Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation
Li, Y., Chen, Y., Zhao, Z., Li, P., Liu, T., Huang, S., & Zhu, Y. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3671701 · Cited by 3 · see citing works
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting
Wu, A., Wang, R., Chen, S., Eppner, C., & Liu, C. K. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10801356 · Cited by 3 · see citing works
P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies
Levy, M., Haldar, S., Pinto, L., & Shirivastava, A. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11128755 · Cited by 3 · see citing works
WildLMa: Long Horizon Loco-Manipulation in the Wild
Qiu, R.-Z., Song, Y., Peng, X., Suryadevara, S. A., Yang, G., Liu, M., Ji, M., Jia, C., Yang, R., Zou, X., et al. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11128535 · Cited by 3 · see citing works
In the Wild Ungraspable Object Picking with Bimanual Nonprehensile Manipulation
Wu, A., & Kruse, D. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11128490 · Cited by 3 · see citing works
Online Imitation Learning for Manipulation via Decaying Relative Correction through Teleoperation
Pan, C., Cheng, H. H., & Hughes, J. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246547 · Cited by 3 · see citing works
Self-citationVIHE: Virtual In-Hand Eye Transformer for 3D Robotic Manipulation
Wang, W., Lei, Y., Jin, S., Hager, G. D., & Zhang, L. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802366 · Cited by 3 · see citing works
Zhong, R., Cheng, C., Xu, J., Wei, Y., Guo, C., Zhang, D., Dai, W., & Lu, H. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247718 · Cited by 3 · see citing works
Cutting Sequence Diffuser: Sim-to-Real Transferable Planning for Object Shaping by Grinding
Hachimine, T., Morimoto, J., & Matsubara, T. (2024) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2024.3519873 · Cited by 2 · see citing works
ImitDiff: Transferring Foundation-Model Priors for Distraction-Robust Visuomotor Policy
Dong, Y., Ge, H., Zeng, Y., Zhang, J., Tian, B., Zhu, H., Jia, Y., Wang, R., Xue, Z., Zhou, G., et al. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3619835 · Cited by 2 · see citing works
Anticipatory and Adaptive Footstep Streaming for Teleoperated Bipedal Robots
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A Soft-Rigid Hybrid Robot-Assisted Feeding System With a Tendon-Driven Continuum Robot
Chen, J., Qiu, Q., & Ji, J. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3627074 · Cited by 2 · see citing works
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Hess, A., Kübler, A. M., Forrai, B., Doğar, M. R., & Katzschmann, R. K. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246473 · Cited by 2 · see citing works
HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning
Alessi, C., Vasile, F., Ceola, F., Pasquale, G., Boccardo, N., & Natale, L. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246490 · Cited by 2 · see citing works
Huang, Y., Jin, P., Han, L., Li, Y., & Hou, X. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3640983 · Cited by 2 · see citing works
Grasping-Based Robotic Threaded Assembly for Nonstandard Objects Under Uncertainty
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From brain to reflex: An emergency response control architecture for embodied intelligent robots
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OSMO: Open-Source Tactile Glove for Human-to-Robot Skill Transfer
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Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models
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Admittance Visuomotor Policy Learning for General-Purpose Contact-Rich Manipulations
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Force-Conditioned Diffusion Policies for Compliant Sheet Separation Tasks in Bimanual Robotic Cells
Shukla, R., Talan, R., Moode, S., Dhanaraj, N., Kang, J. H., & Gupta, S. K. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127816 · Cited by 2 · see citing works
Li, T., Sun, S., Aditya, S. S., & Figueroa, N. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246142 · Cited by 2 · see citing works
What’s the Move? Hybrid Imitation Learning via Salient PointsPreprint
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Working Backwards: Learning to Place by Picking
Limoyo, O., Konar, A., Ablett, T., Kelly, J. W., Hogan, F. R., & Dudek, G. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802173 · Cited by 1 · see citing works
TeleMotion: A Realtime Humanoid Teleoperation System with Motion Capture
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Manipulating Elasto-Plastic Objects With 3D Occupancy and Learning-Based Predictive Control
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SLIM: A Symmetric, Low-Inertia Manipulator for Constrained, Contact-Rich Spaces
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RoboCrowd: Scaling Robot Data Collection Through Crowdsourcing
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VLM-SFD: VLM-Assisted Siamese Flow Diffusion Framework for Dual-Arm Cooperative Manipulation
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DiffOG: Differentiable Policy Trajectory Optimization With Generalizability
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Self-citationDesign of an Affordable, Fully-Actuated Biomimetic Hand for Dexterous Teleoperation Systems
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FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction
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SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping
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TacCap: A Wearable FBG-Based Tactile Sensor for Efficient Human-to-Robot Skill Transfer
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One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes
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Ma, S., Du, W., Yu, C., Jiang, Y., Zong, Z., Xie, T., Chen, Y., Yang, Y., Han, X., & Jiang, C. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247903 · Cited by 1 · see citing works
Grasp EveryThing (GET): 1-DoF, 3-Fingered Gripper with Tactile Sensing for Robust Grasping
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- 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
- bronze
- doi.org
- 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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