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A mini-review on mobile manipulators with Variable Autonomy
Cesar Alan Contreras1, Alireza Rastegarpanah1,2, Manolis Chiou3
1School of Metallurgy and Materials, The University of Birmingham, Birmingham, United Kingdom.
Frontiers in Robotics and AI
|March 3, 2025
Summary
Mobile manipulators with variable autonomy are crucial for hazardous tasks like search and rescue. Future research should focus on reducing operator cognitive load through advanced human-robot teaming and AI integration.
Area of Science:
- Robotics
- Artificial Intelligence
- Human-Robot Interaction
Background:
- Mobile manipulators are increasingly needed in hazardous environments.
- Current systems often require human-robot teaming due to operational uncertainties.
- Variable autonomy is key for safe and reliable operations.
Purpose of the Study:
- To review the current state of research on mobile manipulators with variable autonomy.
- To identify challenges and gaps in variable autonomy research.
- To propose future research directions for enhanced human-robot collaboration.
Main Methods:
- Mini-review of existing literature on mobile manipulators and variable autonomy.
- Analysis of challenges in hazardous environments (e.g., decommissioning, search and rescue).
- Identification of key issues such as cognitive workload and communication delays.
Main Results:
- Variable autonomy is essential for mobile manipulators in uncertain and hazardous settings.
- Significant challenges include managing operator cognitive workload and communication latency.
- Gaps exist in whole-body variable autonomy and integrated human-robot control frameworks.
Conclusions:
- Future research should explore whole-body variable autonomy for mobile manipulators.
- Virtual reality and large language models can reduce operator complexity and cognitive load.
- Advancements in human-robot teaming are critical for effective deployment in challenging scenarios.
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