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About

Mohit Sharma is a robotics and human-robot interaction researcher whose work spans robot control systems, nonverbal communication recognition, and the integration of large AI models into physical robotic agents. His most notable contribution, the Franka-Interface and FrankaPy framework (2020, 25 citations), established a modular, accessible control stack for the widely used Franka Emika Panda research robot, enabling researchers worldwide to more easily prototype and deploy complex manipulation behaviors through an elegant abstraction of skills, trajectory generators, and feedback controllers. This work has become a foundational tool in academic robotics laboratories. Earlier, Sharma contributed to the challenge of machine perception of human nonverbal behavior, co-authoring research on recognizing spontaneous head gestures from video (2018, 18 citations), an important capability for socially aware robots and assistive technologies. Most recently, his involvement in the ambitious Gemini Robotics project (2025) reflects his evolution toward frontier AI-driven robotics, addressing the critical challenge of translating generalist multimodal AI capabilities into reliable physical agents. Across his career, Sharma's research consistently bridges the gap between software infrastructure, human communication, and embodied intelligence — making him a versatile contributor to modern robotics research.