Yusuke Koizumi

Papers

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About

Yusuke Koizumi is a robotics researcher whose work centers on legged climbing robotics and autonomous exploration for extreme planetary environments. His key contributions lie in developing simulation tools and perception-driven control strategies for robots navigating unstructured, steep terrain such as Lunar and Martian caves. Koizumi created **ClimbLab**, a MATLAB simulation platform for legged climbing robotics (2021, 7 citations), which provides a standardized environment for testing and validating climbing algorithms. His most notable work, "Non-Periodic Gait Planning Based on Salient Region Detection for a Planetary Cave Exploration Robot" (2020, 6 citations), introduces a method for detecting topographically salient regions in 3D point clouds to identify graspable targets, enabling a limbed robot to autonomously traverse uneven and steep cave surfaces. This approach moves beyond periodic gaits, allowing adaptive, non-periodic locomotion critical for real-world planetary exploration. Koizumi’s research bridges simulation and field-ready autonomy, offering practical pathways for robots to access scientifically valuable but hazardous subterranean environments. His work is particularly relevant for students and researchers interested in bio-inspired robotics, field robotics, and autonomous navigation in extreme terrains.