Prashanta Gyawali

South Dakota School of Mines and Technology, Institute of Engineering

Papers

Total Citations

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About

Prashanta Gyawali’s research centers on the intersection of robotics, control systems, and real-time embedded hardware, with a particular focus on humanoid locomotion and autonomous navigation. His most notable contribution is a simulation study on humanoid robots detecting and climbing wall-mounted ladders—a critical task for the DARPA Robotics Challenge’s industrial accident scenarios. This work, which has garnered 7 citations, addresses the complex perception and motion planning required for robots to traverse human environments, advancing the field of disaster-response robotics. Gyawali also explored the classic inverted pendulum problem through an innovative lens, using Field Programmable Gate Arrays (FPGAs) to implement control and sensor fusion algorithms for a mobile inverted pendulum robot. This FPGA-based approach demonstrates his expertise in bridging theoretical dynamics with practical, high-speed hardware solutions. Though his publication record is concise, his work reflects a commitment to solving real-world robotic challenges—from stable bipedal climbing to agile balancing—laying groundwork for future autonomous systems capable of operating in unstructured, human-centric spaces.