Papers
91
Total Citations
3,376
H-Index
31
About
Panagiotis Artemiadis is a pioneering researcher at the intersection of human-robot interaction, neural engineering, and rehabilitation robotics, whose work has fundamentally advanced how humans communicate intent to machines. Best known for his groundbreaking contributions to electromyographic (EMG)-based robot control, Artemiadis has developed sophisticated mathematical frameworks that decode muscle signals from the human upper limb to drive robotic systems with remarkable precision and robustness. His early 2010 papers on EMG-based robot arm control and time-varying signal adaptation have collectively garnered over 600 citations, establishing him as a foundational voice in myoelectric control. Artemiadis further shaped the field through influential work on muscle synergies, exploring how the central nervous system's modular muscle coordination strategies can be harnessed for simultaneous, multi-function prosthetic control. His research extends into rehabilitation robotics, with highly cited reviews on lower-limb stroke therapy and soft wearable robots providing a roadmap for next-generation assistive technologies. With a body of work exceeding 1,700 citations across key venues, Artemiadis has consistently bridged neuroscience and engineering, offering transformative solutions for individuals with motor impairments and setting ambitious new directions for the field.
Research Focus
Key Achievements
Top Papers
- 1EMG-Based Control of a Robot Arm Using Low-Dimensional Embeddings263 citations · 2010
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- 3An EMG-Based Robot Control Scheme Robust to Time-Varying EMG Signal Features220 citations · 2010
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- 7A Switching Regime Model for the EMG-Based Control of a Robot Arm144 citations · 2010
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- 10A biomimetic approach to inverse kinematics for a redundant robot arm91 citations · 2010