Yoshiharu Kaneshima

Papers

Total Citations

128

H-Index

About

Yoshiharu Kaneshima is a pioneering researcher in humanoid robotics, whose work has fundamentally shaped how bipedal robots achieve stable, dynamic locomotion. His primary research areas include real-time walking pattern generation, human-robot interaction, and robust path planning for mobile robots in challenging environments. Kaneshima’s most influential contribution is his 2003 paper on “Online walking pattern generation for biped humanoid robot with trunk,” which has garnered 108 citations. This work introduced a groundbreaking method for generating walking patterns in real time, allowing robots with trunks to smoothly transition from standing to walking based on user commands—a critical advancement for natural, adaptive locomotion. He further expanded human-robot interaction in his 2018 study on “Interactive biped locomotion based on visual/auditory information,” demonstrating how visual cues and voice commands can enable intuitive, real-time control. More recently, his 2018 paper on “Robust Path Planning Against Pose Errors for Mobile Robots in Rough Terrain” addresses practical challenges in uneven environments, showcasing his commitment to real-world applicability. Kaneshima’s research remains foundational for students and engineers developing responsive, stable humanoid robots.