Arpit Kapoor

Papers

Total Citations

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About

Arpit Kapoor is a researcher in humanoid robotics, with key contributions in teleoperation, motion imitation, and dynamic balance control. His most cited work, “Teleoperation of a Humanoid Robot with Motion Imitation and Legged Locomotion” (2018, 14 citations), introduces an accessible system that uses a Microsoft Kinect depth sensor to capture human motions, enabling a humanoid robot to walk, turn, and imitate movements without cumbersome motion capture suits. This innovation enhances user comfort and practical interaction. Kapoor also addresses critical stability challenges in “Dynamic lateral balance of humanoid robots on unstable surfaces” (2017, 5 citations), where he develops a control algorithm using IMU feedback to maintain balance on geodynamic surfaces like seesaws or suspension bridges. His work bridges intuitive human-robot interfaces with robust locomotion control, advancing the field’s real-world applicability. With a focus on making humanoid robots more responsive and stable in dynamic environments, Kapoor’s research has laid groundwork for safer, more versatile robotic systems in disaster response, exploration, and assistive technologies.