Papers
25
Total Citations
195
H-Index
8
About
Santosh Devasia is a prominent researcher whose work spans robotics, control systems, and human-robot interaction, with particular emphasis on precision manufacturing, prosthetics, and iterative learning control. His research addresses some of the most challenging problems at the intersection of automation and human adaptability, developing sophisticated control frameworks that enable machines and humans to collaborate more effectively. Among his most recognized contributions is his work on multi-robot scheduling for aircraft assembly and confined-space manufacturing teleoperation, where he has pioneered dynamic autonomy approaches that blend human judgment with machine precision. His 2021 paper on multi-robot aircraft assembly scheduling has already garnered 39 citations, reflecting its immediate relevance to industrial robotics. Devasia has also made meaningful advances in assistive technology, proposing human-in-the-loop optimization methods for powered ankle-foot prostheses to improve gait symmetry in amputees, a contribution with direct clinical implications. His iterative learning control (ILC) methodology, applied across collaborative robotics, series elastic actuators, and MIMO systems, demonstrates a sustained commitment to precision and adaptability in dynamic environments. As a guest editor for a special issue on micro- and nanoscale systems control, he has also helped shape broader conversations in the field, cementing his reputation as both a practitioner and thought leader in advanced robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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- 5Iterative learning control for human-robot collaborative output tracking10 citations · 2016
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