Prashanth Ramadoss
Papers
2
Total Citations
30
H-Index
2
About
Prashanth Ramadoss is a robotics researcher whose work sits at the intersection of humanoid locomotion and human-robot collaboration, with a particular focus on real-time ergonomics and physical human-robot interaction. His most cited work, "A Benchmarking of DCM-Based Architectures for Position, Velocity and Torque-Controlled Humanoid Robots" (2019, 20 citations), provides a systematic evaluation of control frameworks for bipedal locomotion, specifically those leveraging the Divergent Component of Motion (DCM). This benchmarking study, which spans trajectory optimization, simplified model control, and whole-body quadratic programming, has become a foundational reference for researchers designing stable walking controllers for humanoid robots. In his more recent work, "Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment" (2021, 10 citations), Ramadoss addresses a pressing challenge in Industry 5.0: using wearable sensors and collaborative robotics to assess and improve human ergonomics in real time. By enabling non-collocated estimation of payload and joint stress, this research contributes directly to the digital transformation of human factors engineering, aiming to reduce workplace injuries. Ramadoss’s dual focus on advancing robot autonomy and enhancing human well-being positions him as a notable contributor to both humanoid robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
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