Immersive Teleoperation of Beyond-Human-Scale Robotic Manipulators: Challenges and Future Directions
Hejrati, Mahdi, Mattila, Jouni
–arXiv.org Artificial Intelligence
Teleoperation of beyond-human-scale robotic manipulators (BHSRMs) presents unique challenges that differ fundamentally from conventional human-scale systems. As these platforms gain relevance in industrial domains such as construction, mining, and disaster response, immersive interfaces must be rethought to support scalable, safe, and effective human-robot collaboration. This paper investigates the control, cognitive, and interface-level challenges of immersive teleoperation in BHSRMs, with a focus on ensuring operator safety, minimizing sensorimotor mismatch, and enhancing the sense of embodiment. We analyze design trade-offs in haptic and visual feedback systems, supported by early experimental comparisons of exoskeleton- and joystick-based control setups. Finally, we outline key research directions for developing new evaluation tools, scaling strategies, and human-centered safety models tailored to large-scale robotic telepresence.
arXiv.org Artificial Intelligence
Aug-14-2025
- Country:
- Africa > Central African Republic
- Ombella-M'Poko > Bimbo (0.04)
- Europe
- Finland > Pirkanmaa
- Tampere (0.04)
- Netherlands > South Holland
- Leiden (0.04)
- Finland > Pirkanmaa
- Africa > Central African Republic
- Genre:
- Research Report (1.00)
- Industry:
- Health & Medicine > Therapeutic Area
- Neurology (0.46)
- Materials > Metals & Mining (0.68)
- Health & Medicine > Therapeutic Area
- Technology:
- Information Technology > Artificial Intelligence > Robots > Manipulation (0.61)