A. Waeber
Papers
1
Total Citations
7
H-Index
1
About
A. Waeber’s research lies at the intersection of rehabilitation robotics, human motor learning, and haptic interaction, with a focus on designing intelligent robotic systems that adapt to individual patient needs. Their most cited work, “Guidance in the nullspace reduces task difficulty in robot-assisted coordination training” (2015, 7 citations), introduces a novel approach to haptic guidance that selectively assists only in task-irrelevant movement dimensions—the “nullspace”—thereby lowering task difficulty without imposing rigid constraints. This breakthrough allows patients to retain active control over the primary coordination task, promoting more effective motor learning and skill transfer. By demonstrating that nullspace guidance can reduce task difficulty while preserving the patient’s agency, Waeber’s research provides a principled framework for adaptive robot-assisted therapy, directly addressing the challenge of balancing support with challenge in neurorehabilitation. Their work has implications for designing personalized training protocols that maximize learning rates, making robot-assisted therapy both more efficient and more engaging. With a growing citation footprint, Waeber’s contributions are shaping how rehabilitation robots are programmed to interact with human users, offering a path toward more intuitive and effective assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1