Keiji Muro

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About

Keiji Muro is a robotics researcher whose work centers on control systems and autonomous navigation for mobile robots. His primary contributions lie in the development of advanced locomotion and mapping techniques, particularly for robots operating in complex, real-world environments. Muro’s most impactful work, "Sliding-Mode Control for Transformation to an Inverted Pendulum Mode of a Mobile Robot With Wheel-Arms" (2014), has garnered 56 citations. This paper introduces a robust control method that enables a wheeled robot to transition from a stable four-wheeled mode for high-speed travel to an agile inverted pendulum mode, offering advantages like an elevated viewing position and a smaller turning radius—critical for surveillance or inspection tasks. Beyond this, his research extends to practical autonomous systems, as seen in "Boundary Wire Mapping on Autonomous Lawn Mowers" (2017), which addresses precise navigation for outdoor robots. Muro’s work bridges theoretical control design with applied robotics, demonstrating impact in both academic and industrial contexts. His achievements highlight a commitment to solving fundamental challenges in robot mobility and autonomy, making his research valuable for students and engineers developing next-generation robotic platforms.