Roland Sigrist
Papers
6
Total Citations
100
H-Index
5
About
Roland Sigrist is a leading researcher at the intersection of robotics, motor learning, and assistive technology, whose work is reshaping how humans acquire physical skills and how technology can support rehabilitation. His primary research areas include human-robot interaction, user-cooperative control, and the development of intelligent feedback systems for motor learning. Sigrist’s major contribution lies in pioneering automated feedback selection—a concept where robotic systems intelligently choose the most effective type of visual or haptic feedback for a trainee, dramatically accelerating skill acquisition. His foundational paper on this topic has garnered 28 citations, while his work on user-cooperative control, which allows robots to assist rather than dictate movement, has been cited 25 times. Sigrist is also a key figure behind the CYBATHLON, the "Bionic Olympics," a groundbreaking competition that benchmarks advanced assistive technologies and drives their real-world adoption; his survey on CYBATHLON’s impact has received 21 citations. By bridging engineering and human performance, Sigrist has created virtual trainers for complex tasks like rowing and has fundamentally advanced the field of robot-assisted rehabilitation, making him a pivotal voice in the future of human augmentation and motor learning.
Research Focus
Key Achievements
Top Papers
- 1
- 2Assistance or challenge? Filling a gap in user-cooperative control25 citations · 2011
- 3
- 4A virtual trainer concept for robot-assisted human motor learning in rowing13 citations · 2011
- 5The CYBATHLON - Bionic Olympics to Benchmark Assistive Technologies8 citations · 2019
- 6Automated Feedback Selection for Robot-Assisted Training5 citations · 2017