Papers
25
Total Citations
254
H-Index
9
About
Manolis Chiou is a robotics researcher whose work sits at the intersection of human-robot interaction, variable autonomy, and safety-critical robotic systems. His research has fundamentally shaped how we understand and design systems where control authority shifts dynamically between human operators and autonomous AI agents — a paradigm known as variable autonomy. Through rigorous experimental analysis, Chiou has investigated how humans and robots share control in demanding environments such as nuclear disaster response and search-and-rescue missions, contributing foundational frameworks that inform both system design and operator training practices. His influential concept of "Robot Vitals" offers an intuitive, systematic approach to quantifying real-time performance degradation in remote robots — a critical capability for deploying robots in hazardous, unpredictable conditions. Chiou has also advanced the field through Bayesian approaches to operator intent recognition and negotiation-theoretic frameworks for managing control transfers in mixed-initiative systems. His 2024 survey on trustworthy AI in variable autonomy robotics reflects a growing commitment to transparency and explainability in human-robot teaming. With over 180 cumulative citations across his most impactful works, Chiou's contributions offer essential reading for researchers working on autonomous systems, teleoperation, and the future of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 4Towards the Principled Study of Variable Autonomy in Mobile Robots19 citations · 2015
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- 9A mini-review on mobile manipulators with Variable Autonomy10 citations · 2025
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