Harish Asokan
Papers
2
Total Citations
16
H-Index
2
About
Harish Asokan is a robotics researcher whose work centers on humanoid robot teleoperation, motion imitation, and legged locomotion. His most-cited contribution, a 2018 study on teleoperating a humanoid robot, demonstrates a novel system that enables robots to replicate human motions and perform walking and turning tasks. By leveraging a Microsoft Kinect depth sensor instead of traditional motion capture suits, Asokan’s approach prioritizes user comfort and accessibility, making human-robot interaction more intuitive. This work, garnering 14 citations, highlights his focus on bridging the gap between human movement and robotic control. Asokan’s research has practical implications for assistive robotics, remote manipulation, and autonomous navigation, where seamless motion imitation can enhance task execution. His achievements underscore a commitment to developing user-friendly interfaces that advance the field of humanoid robotics, offering a foundation for future innovations in teleoperation and embodied AI.
Research Focus
Key Achievements
Top Papers
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- 2