Madhur Mangalam
Papers
2
Total Citations
5
H-Index
2
About
Madhur Mangalam is a researcher whose work lies at the intersection of human movement science and robotics, with a focus on how biological motion can inform artificial systems. His key research areas include motor control, human-robot interaction, and the self-organization of movement. Mangalam’s major contribution is the development of computational models that leverage submovements—discrete, Gaussian-shaped components of continuous motion—to predict human intent and plan trajectories for seamless human-robot handovers. This work, published in 2022, has garnered 3 citations and addresses a critical challenge in robotics: enabling machines to anticipate and coordinate with human partners. Earlier, in 2015, he explored the self-organization of laterally asymmetrical movements, demonstrating how space–time optimization drives the emergence of efficient motor patterns. Though his citation counts are modest, Mangalam’s research is notable for bridging fundamental motor control theory with practical applications in robotics, offering a framework for more intuitive and adaptive human-robot collaboration. His work is particularly relevant for students and researchers interested in the intersection of biomechanics, computational modeling, and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2