Papers
67
Total Citations
2,217
H-Index
24
About
Eric Rogers is a leading researcher in control systems engineering, with particular expertise in iterative learning control (ILC) and its transformative applications in stroke rehabilitation and robotics. His work has fundamentally advanced the theoretical and practical dimensions of ILC, developing mathematically rigorous frameworks — including norm-optimal and 2D systems-based approaches — that enable precise, adaptive control across repeated tasks. Rogers is perhaps best known for pioneering the application of ILC combined with functional electrical stimulation (FES) and robotic systems to restore upper limb motor function in stroke survivors. With 15 million people suffering strokes annually and 5 million left permanently disabled, his clinical research — evidenced by multiple high-impact studies accumulating hundreds of citations — has demonstrated measurable reductions in motor impairment for chronic stroke patients. His 2012 paper on electrical stimulation and robotic-assisted rehabilitation alone has garnered 245 citations, reflecting its significance to both engineers and clinicians. Beyond rehabilitation, Rogers has contributed to industrial robotics, demonstrating ILC's effectiveness on gantry systems for automation, and participated in a landmark DARPA/NSF interdisciplinary study on human-robot interaction. His career exemplifies how rigorous control theory can be translated into life-changing clinical and industrial practice.
Research Focus
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- 10P-type iterative learning control for systems that contain resonance60 citations · 2005