Super-low friction and lightweight hydraulic cylinder using multi-directional forging magnesium alloy and its application to robotic leg. - Hiroyuki Nabae; Morizo Hemmi; Yoshiharu Hirota; Tohru Ide; Koichi Suzumori; Gen Endo (Adv. Robotics, 2018)

New Hydraulic Components for Tough Robots. - Koichi Suzumori; Hiroyuki Nabae; Ryo Sakurai; Takefumi Kanda; Sang-Ho Hyon; Tohru Ide; Kiyohiro Hioki; Kazu Ito; Kiyoshi Inoue; Yoshiharu Hirota; Akina Yamamoto; Takahiro Ukida; et al. (Disaster Robotics, 2019)

Dual-Arm Construction Robot with Remote-Control Function. - Hiroshi Yoshinada; Keita Kurashiki; Daisuke Kondo; Keiji Nagatani; Seiga Kiribayashi; Masataka Fuchida; Masayuki Tanaka 001; Atsushi Yamashita; Hajime Asama; Takashi Shibata 001; Masatoshi Okutomi; Yoko Sasaki; et al. (Disaster Robotics, 2019)

Fabrication, Experiment, and Simulation of a Flexible Microvalve-Integrated Microarm for Microgrippers Using Electrorheological Fluid. - Joon Wan Kim; Kazuhiro Yoshida; Toru Ide; Shinichi Yokota (J. Robotics Mechatronics, 2020)

Design of a Compliant 7-DoF Power Soft Robot driven by Hydraulic Artificial Muscles. - Yunhao Feng; Tohru Ide; Hiroyuki Nabae; Gen Endo; Ryo Sakurai; Shingo Ohno; Koichi Suzumori (MHS, 2021)

Self-positioning Method Based on Similarity Between Environmental Map and Information of Image and Point Cloud. - Hitoshi Kuwamura; Toru Ide; Hiroyoshi Miwa (INCoS, 2022)

Ergonomic dual four-bar linkage knee exoskeleton for stair ascent assistance. - Sarin Kittisares; Tohru Ide; Hiroyuki Nabae; Koichi Suzumori (Frontiers Robotics AI, 2023)

Rapidly Deployable Vine-Like Monitoring Device for Elevated Positions. - Yunhao Feng; Hiroto Kodama; Tohru Ide; Akina Yamamoto; Hiroyuki Nabae; Koichi Suzumori (SSRR, 2024)

Vine-Like, Power Soft Gripper Based on Euler's Belt Theory. - Hiroto Kodama; Tohru Ide; Yunhao Feng; Hiroyuki Nabae; Koichi Suzumori (IEEE Robotics Autom. Lett., 2024)

Experimental Validation of a 7-DOF Power Soft Robot Driven by Hydraulic Artificial Muscles. - Yunhao Feng; Tohru Ide; Hiroyuki Nabae; Gen Endo; Ryo Sakurai; Shingo Ohno; Koichi Suzumori (IEEE Robotics Autom. Lett., 2024)