Immersive Teleoperation of Beyond-Human-Scale Robotic Manipulators: Challenges and Future Directions

2025-08-13

AI Summary

Bilateral human-scale robotic manipulators (BHSRMs) in immersive teleoperation face critical challenges including safety risks, sensorimotor mismatch between perception and motion, and attenuated haptic feedback. Method: This work proposes a human-centered safety model that systematically analyzes the trade-offs among force/visual feedback and motion mapping. Through dual-modality experiments—using exoskeletons and joysticks—combined with multimodal feedback integration and immersive interface optimization, the study empirically quantifies the impact of sensor–actuator mismatch on teleoperation performance. Contribution/Results: The paper establishes the first safety–perception co-design framework for large-scale teleoperation, experimentally validates performance–safety trade-offs across distinct control paradigms (e.g., rate vs. position control), and provides theoretical foundations and empirical evidence for scalable interface design and standardized evaluation tool development.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Natural Language Processing: Safety and Robustness
• Humans and AI: Planning and Decision Support for Human-Machine Teams

Application Category

• Security and Privacy: Large-scale security measurements
• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

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.

Problem

• Challenges in teleoperating beyond-human-scale robotic manipulators
• Rethinking immersive interfaces for scalable human-robot collaboration
• Addressing control, cognitive, and interface-level issues in teleoperation

Innovation

• Immersive interfaces for large-scale robotic teleoperation
• Haptic and visual feedback system design analysis
• Exoskeleton and joystick control experimental comparison