Himanshu Rawat

National Institute of Technology Rourkela

Papers

Total Citations

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About

Dr. Himanshu Rawat is a leading researcher in robotics and autonomous navigation, with a primary focus on humanoid motion planning in complex, unknown environments. His most influential work, "Path planning of humanoids based on artificial potential field method in unknown environments" (2018, 53 citations), introduces a novel artificial potential field-based controller for the motion planning of NAO humanoid robots. This contribution addresses a critical challenge in robotics—enabling humanoids to navigate dynamically without pre-mapped data—by leveraging potential field principles to avoid obstacles and reach targets efficiently. Dr. Rawat’s approach has been widely recognized for its practical applicability in real-world scenarios, such as disaster response and assistive robotics, where adaptability is key. Beyond this flagship paper, his research spans sensor integration, control systems, and human-robot interaction, consistently pushing the boundaries of autonomous navigation. With a growing citation impact and a reputation for bridging theoretical algorithms with hardware implementation, Dr. Rawat’s work serves as a foundational resource for students and engineers developing next-generation robotic systems. His achievements underscore a commitment to making humanoid robots safer, more responsive, and truly autonomous.