Sander De Bock
Papers
4
Total Citations
16
H-Index
3
About
Sander De Bock is a rising leader in the field of wearable robotics and human-machine interaction, with a research focus on optimizing assistive devices for both rehabilitation and occupational settings. His major contributions center on developing novel, real-time objective functions for human-in-the-loop optimization, moving beyond traditional, noisy measurements like energetic cost. De Bock pioneered the use of electromyography (EMG)-based objective functions, which offer faster, more comfortable, and less intrusive evaluations of wearable robot parameters, as demonstrated in his 2023 and 2024 works. He has also advanced the understanding of exoskeleton adoption through his typology of users and non-users, addressing critical barriers to real-world implementation. Additionally, his 2025 work introduces a muscle synergy-based method to enhance robot-assisted movements for individuals with neurological impairments, promising more adaptive and effective motor recovery. With over 16 citations across his most-cited papers, De Bock’s research is shaping the future of intuitive, user-centered wearable technology, making him a key figure in bridging engineering, biomechanics, and human factors.
Research Focus
Key Achievements
Top Papers
- 1An EMG-Based Objective Function for Human-in-the-Loop Optimization5 citations · 2023
- 2
- 3
- 4A muscle synergy-based method to improve robot-assisted movements3 citations · 2025