Keigo Haji

Papers

Total Citations

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About

Keigo Haji is a robotics researcher whose work centers on the design, control, and autonomous operation of legged climbing robots for extreme terrain exploration. His primary contributions lie in developing lightweight, multi-limbed robotic platforms capable of navigating challenging environments such as planetary caves and steep, uneven landscapes. Haji’s most notable work, "HubRobo: A Lightweight Multi-Limbed Climbing Robot for Exploration in Challenging Terrain" (2021, 30 citations), introduces a novel quadruped robot with an insect-type symmetric configuration and a passive compliant spine gripper, showcasing innovative sequential control strategies for climbing. This paper has become a key reference in the field of climbing robotics. Additionally, Haji developed "ClimbLab: MATLAB Simulation Platform for Legged Climbing Robotics" (2021, 7 citations), a valuable tool for researchers to simulate and test climbing algorithms. His research on "Non-Periodic Gait Planning Based on Salient Region Detection for a Planetary Cave Exploration Robot" (2020, 6 citations) advances autonomous navigation by enabling robots to detect graspable targets in 3D point clouds. Through these contributions, Haji is pushing the boundaries of robotic exploration in inaccessible terrains, with implications for space exploration and search-and-rescue missions.