Mark Driscoll
Papers
4
Total Citations
128
H-Index
3
About
Mark Driscoll is a leading researcher in rehabilitation robotics and nonlinear control systems, with a focus on enhancing the safety and performance of robotic exoskeletons for human assistance. His major contributions center on developing advanced adaptive and sliding mode control strategies that robustly handle uncertainties and disturbances in robotic systems. Notably, his 2020 paper on a novel adaptive impedance control using a nonlinear time-delay disturbance observer has garnered 96 citations, demonstrating its significant impact on the field. This work, along with his adaptive high-order sliding mode control and quasi-time delay estimation techniques (17 citations), has advanced the reliability of rehabilitation robots in real-world, perturbed environments. Driscoll has also contributed to haptic simulation for orthopedic training, designing a robotic uniaxial torque device for surgical simulators. His research bridges theoretical control innovations with practical experimentation, directly improving the performance of rehabilitation robots and medical training tools. With a clear focus on human-robot interaction and system robustness, Driscoll’s work is essential reading for engineers and researchers developing next-generation assistive and haptic robotic technologies.
Research Focus
Key Achievements
Top Papers
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