Rezwan Al Islam Khan

Papers

Total Citations

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About

Rezwan Al Islam Khan is pioneering the next generation of mobile robotics through bio-inspired design and intelligent control. His research centers on the development and control of wheel-legged quadruped robots, merging the efficiency of wheeled locomotion with the agility of legged systems. Khan’s most significant contribution is the creation of **Pegasus**, a novel quadruped robot featuring an underactuated wheel-legged mechanism grounded in biomimicry. This platform offers two distinct motion modes—pure wheeled and hybrid wheeled-legged—granting it exceptional adaptability across diverse terrains and tasks. His work on Pegasus has already garnered foundational citations. To master this complex hybrid system, Khan has advanced the field by applying **multi-agent reinforcement learning** for tracking control, enabling the robot to achieve four-wheel independent steering and diverse, stable gaits. He has also developed a hierarchical optimum control framework for the platform, addressing the challenge of coordinating multiple locomotion modes. With his most cited papers from 2024 already accumulating over a dozen citations, Khan is establishing himself as a key innovator in creating versatile, intelligent, and highly mobile robotic platforms for real-world applications.