Harshit Gaur

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About

Harshit Gaur is a robotics researcher whose work sits at the intersection of human-robot interaction and dynamic locomotion for humanoid systems. His primary research focuses on enabling humanoid robots to operate in unstructured, real-world environments through intuitive control and robust balance. Gaur’s most impactful contribution, “Teleoperation of a Humanoid Robot with Motion Imitation and Legged Locomotion” (2018, 14 citations), introduces a system that uses a Microsoft Kinect depth sensor to capture human motions, allowing operators to control a robot’s walking and turning without cumbersome suits—making teleoperation more accessible and comfortable. He further advances robot stability in his work “Dynamic lateral balance of humanoid robots on unstable surfaces” (2017, 5 citations), where he develops a real-time control algorithm using IMU feedback to maintain balance on challenging surfaces like seesaws or suspension bridges. By tackling both intuitive control and dynamic stability, Gaur’s research directly addresses key barriers to deploying humanoid robots in disaster response, construction, and other unpredictable settings. His work demonstrates a clear commitment to making humanoid robots more practical, responsive, and capable in the real world.