Fotios Dimeas
Papers
23
Total Citations
883
H-Index
15
About
Fotios Dimeas is a prominent robotics researcher whose work sits at the intersection of physical human-robot interaction (pHRI), adaptive control systems, and intelligent automation. Best known for his contributions to admittance control and compliant robot behavior, Dimeas has fundamentally advanced how robots sense, respond to, and collaborate with human operators in shared tasks. His most cited work, "Online Stability in Human-Robot Cooperation with Admittance Control" (2016, 203 citations), established critical methods for maintaining stability during physical human-robot cooperation — a foundational challenge in the field. Complementing this, his research on variable admittance control using reinforcement learning, fuzzy inference systems, and EMG-based muscle co-activation signals demonstrates a sophisticated, multi-disciplinary approach to making robots more intuitive and responsive partners. Dimeas has also contributed meaningfully to agricultural robotics, developing a fuzzy-controlled robotic gripper for strawberry harvesting (107 citations), and to robot safety, proposing novel collision detection and contact-type distinction methods. His development of the QUEAD questionnaire reflects a commitment to human-centered design and user acceptance evaluation. With over 700 cumulative citations across his top works, Dimeas has established himself as a leading voice in intelligent, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Online Stability in Human-Robot Cooperation with Admittance Control203 citations · 2016
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- 4Fuzzy learning variable admittance control for human-robot cooperation72 citations · 2014
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