Papers
17
Total Citations
258
H-Index
10
About
Niels Dehio is a leading researcher in multi-robot systems and whole-body control, whose work fundamentally advances how robots physically interact with their environment and with humans. His research centers on three interconnected areas: multi-objective task optimization, impact-aware control, and physical human-multi-robot collaboration. Dehio's major contributions include pioneering methods for continuously shaping projection operators in hierarchical control, enabling smooth transitions between task priorities—a critical advancement over traditional rigid prioritization schemes. His work on impact-aware control, with over 25 citations for his impact dynamics models, has transformed how robots can safely generate high-speed contacts, moving beyond the conventional near-zero velocity approach to enable dynamic tasks like rapid box grabbing. Notably, his 2021 study on impedance-based physical human-multi-robot collaboration, demonstrating four torque-controlled manipulators working with humans, represents a landmark achievement in the field. With over 200 total citations across his most-cited papers, Dehio's research at the intersection of control theory, impact mechanics, and multi-agent systems continues to shape the future of collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 5Continuously Shaping Projections and Operational Space Tasks23 citations · 2018
- 6Dynamically-consistent Generalized Hierarchical Control20 citations · 2019
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- 9Impact-Aware Task-Space Quadratic-Programming Control13 citations · 2020
- 10Robot-Safe Impacts with Soft Contacts Based on Learned Deformations10 citations · 2021