M.S. Sarkar

Middle Tennessee State University, Queen's University

Papers

Total Citations

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About

M.S. Sarkar is a researcher whose work lies at the intersection of assistive robotics and high-level task planning, with a particular focus on human-robot interaction for individuals with severe disabilities. Sarkar’s most notable contribution is the development of an innovative, semiautonomous human-robot interaction system that enables users to communicate with robots through electromyographic (EMG) signals—a breakthrough that offers greater independence to people with limited motor control. This pioneering work, published in 2006, has garnered 13 citations and stands as a proof-of-concept for a new class of assistive technologies. In parallel, Sarkar introduced a graph-rewriting approach to high-level robotic task planning, providing a formal methodology for representing and modifying task plans through explicitly defined rewrite rules. While this earlier work from 2002 has received 2 citations, it laid important groundwork for structured, adaptable planning strategies in robotics. Together, these contributions highlight Sarkar’s commitment to making robotic systems more accessible and intelligent, bridging the gap between human intent and machine action in ways that directly improve quality of life.