mlsanityData to 14 Oct 2026

Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck

arXiv 2411.00704 ↗First posted 1 Nov 2024cs.ROcited by 3

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Abstract (arXiv)

We introduce a teleoperation system that integrates a 5 DOF actuated neck, designed to replicate natural human head movements and perception. By enabling behaviors like peeking or tilting, the system provides operators with a more intuitive and comprehensive view of the environment, improving task performance, reducing cognitive load, and facilitating complex whole-body manipulation. We demonstrate the benefits of natural perception across seven challenging teleoperation tasks, showing how the actuated neck enhances the scope and efficiency of remote operation. Furthermore, we investigate its role in training autonomous policies through imitation learning. In three distinct tasks, the actuated neck supports better spatial awareness, reduces distribution shift, and enables adaptive task-specific adjustments compared to a static wide-angle camera.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Nov 2024.

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Citing papers per year: 2025: 1; 2026: 2.

3 papers.

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  1. 2025Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View
  2. 2025Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger
  3. 2025The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation
  4. 2024Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
  5. 2026Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization
  6. 2026Efficient and Reliable Teleoperation through Real-to-Sim-to-Real Shared Autonomy
  7. 2026Static Is Not Enough: A Comparative Study of VR and SpaceMouse in Static and Dynamic Teleoperation Tasks
  8. 2024TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation