Vishnu Radhakrishnan
Laboratoire Lorrain de Recherche en Informatique et ses Applications
Papers
1
Total Citations
9
H-Index
1
About
Vishnu Radhakrishnan is a robotics researcher whose work centers on humanoid whole-body control, motion retargeting, and teleoperation—bridging the gap between human demonstration and robot execution. His most cited paper, "Humanoid Whole-Body Movement Optimization from Retargeted Human Motions" (2019, 9 citations), tackles a fundamental challenge in humanoid robotics: while motion retargeting allows humans to intuitively demonstrate complex movements to robots, the resulting motions are often suboptimal due to differences in kinematics and dynamics between human and robot. Radhakrishnan’s contribution lies in developing optimization frameworks that refine these retargeted motions, making them feasible, stable, and efficient for humanoid platforms. This work is significant because it enables more natural and effective teleoperation, akin to kinesthetic teaching for manipulators, but extended to whole-body control. Though early in his career, his research has already influenced how robots learn from human motion, with potential applications in assistive robotics, manufacturing, and human-robot interaction. Radhakrishnan’s focus on optimizing human-inspired movements positions him at the forefront of making humanoid robots more agile and responsive in real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1Humanoid Whole-Body Movement Optimization from Retargeted Human Motions9 citations · 2019