mlsanityData to 14 Oct 2026

The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation

arXiv 2509.03222 ↗First posted 3 Sep 2025cs.RO cs.HC cs.LGcited by 1

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Abstract (arXiv)

Intuitive Teleoperation interfaces are essential for mobile manipulation robots to ensure high quality data collection while reducing operator workload. A strong sense of embodiment combined with minimal physical and cognitive demands not only enhances the user experience during large-scale data collection, but also helps maintain data quality over extended periods. This becomes especially crucial for challenging long-horizon mobile manipulation tasks that require whole-body coordination. We compare two distinct robot control paradigms: a coupled embodiment integrating arm manipulation and base navigation functions, and a decoupled embodiment treating these systems as separate control entities. Additionally, we evaluate two visual feedback mechanisms: immersive virtual reality and conventional screen-based visualization of the robot's field of view. These configurations were systematically assessed across a complex, multi-stage task sequence requiring integrated planning and execution. Our results show that the use of VR as a feedback modality increases task completion time, cognitive workload, and perceived effort of the teleoperator. Coupling manipulation and navigation leads to a comparable workload on the user as decoupling the embodiments, while preliminary experiments suggest that data acquired by coupled teleoperation leads to better imitation learning performance. Our holistic view on intuitive teleoperation interfaces provides valuable insight into collecting high-quality, high-dimensional mobile manipulation data at scale with the human operator in mind. Project website:https://sophiamoyen.github.io/role-embodiment-wbc-moma-teleop/

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 17 of its 48 references that are in the map. First posted on arXiv 3 Sep 2025.

Builds on

17 of 48 references.

References · 17

  1. 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,838
  2. 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,568
  3. 2023Open X-Embodiment: Robotic Learning Datasets and RT-X Modelscited by 862
  4. 2024DROID: A Large-Scale In-The-Wild Robot Manipulation Datasetcited by 852
  5. 2023BridgeData V2: A Dataset for Robot Learning at Scalecited by 657
  6. 2019RoboNet: Large-Scale Multi-Robot Learningcited by 270
  7. 2024Learning Human-to-Humanoid Real-Time Whole-Body Teleoperationcited by 130
  8. 2018Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitationcited by 76
  9. 2024TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulationcited by 30
  10. 2019Human to Robot Whole-Body Motion Transfercited by 8
  11. 2023NimbRo wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learnedcited by 5
  12. 2023Audio-based Roughness Sensing and Tactile Feedback for Haptic Perception in Telepresencecited by 4
5 more
  1. 2018NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momarocited by 3
  2. 2024Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulationcited by 3
  3. 2024Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile Sensors for Rigid and Soft Object Manipulationcited by 2
  4. 2024Mixed Reality Teleoperation Assistance for Direct Control of Humanoidscited by 2
  5. 2021Quantitative Physical Ergonomics Assessment of Teleoperation Interfacescited by 1

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Citing papers per year: 2026: 1.

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  1. 2026Static Is Not Enough: A Comparative Study of VR and SpaceMouse in Static and Dynamic Teleoperation Tasks
  2. 2026M3-Tele: A Unified Multimodal Teleoperational Framework for Compliant Whole-Body Mobile Manipulation ↗
  3. 2024TelePreview: A User-Friendly Teleoperation System with Virtual Arm Assistance for Enhanced Effectiveness ↗
  4. 2026DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
  5. 2024Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation
  6. 2026RoboSpan: Learning Modular Coordination Policies for High-DoF Whole-Body Mobile Manipulation with Teleoperation ↗
  7. 2024Haptic-ACT: Bridging Human Intuition with Compliant Robotic Manipulation via Immersive VR
  8. 2025TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System