V Sudharsan

Papers

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About

V. Sudharsan is a robotics researcher focused on advancing human-robot interaction through deep learning, with particular emphasis on real-time motion control for humanoid robots. Their most cited work, "Real-Time Motion Control of a Humanoid Robot Using Deep Learning" (2021), addresses a critical challenge in robotics: enabling intuitive, manual control of humanoid platforms without explicit programming. By leveraging deep learning techniques, Sudharsan's research empowers humanoid robots to perform diverse tasks—from teaching and personal assistance to search and rescue operations—through direct human guidance, bypassing the need for complex, task-specific coding. This work, garnering 2 citations, lays foundational groundwork for more adaptable and accessible robotic systems. Sudharsan's contributions sit at the intersection of artificial intelligence and embodied robotics, aiming to make humanoid robots more responsive and practical in real-world scenarios. Their research holds promise for enhancing the versatility of robots in dynamic environments, reducing the barrier to entry for non-expert operators. As the field evolves, Sudharsan's focus on deep learning-driven control continues to inspire new approaches to seamless human-robot collaboration.