Papers
7
Total Citations
322
H-Index
5
About
Mark Dohring is a leading researcher in rehabilitation robotics and human-machine interaction, with a primary focus on restoring motor function after stroke. His work bridges the gap between robotic therapy, functional electrical stimulation (FES), and motor learning principles. Dohring's most impactful contribution is a 2005 study (182 citations) that demonstrated the efficacy of combining upper-limb robotics with motor learning or FNS in chronic stroke survivors, showing significant functional gains from intensive 12-week therapy. He has also advanced the field of force control, notably through his work on Natural Admittance Control (NAC) for robotic systems, ensuring safe and responsive human-robot interaction (48 citations). Dohring pioneered the automatic synchronization of FES with the Lokomat robotic gait orthosis (47 citations), enabling more coordinated gait training for stroke patients. His innovative research extends to non-invasive brain-computer interfaces (BCI) integrated with FES and robotics for motor re-learning, as well as novel cable-driven robot designs for precision applications. With a career spanning from micro-gravity force control to clinical rehabilitation, Dohring's work has profoundly impacted both the engineering principles of robot control and the practical development of neurorehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1Response to upper-limb robotics and functional neuromuscular182 citations · 2005
- 2The passivity of natural admittance control implementations48 citations · 2004
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- 4Admittance enhancement in force feedback of dynamic systems25 citations · 2003
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