cs.ROSep 24, 2026

Dense-Joint-Based Obstacle-Aided Locomotion with a Joint-Repositionable Snake Robot

Authors: Kyosuke Minomo, Ryo Takahashi, Kotaro Yasui, Yasutaka Nakashima, Motoji Yamamoto, Ayato Kanada

Organizations: Department of Mechanical Engineering, Kyushu University, Fukuoka 819-0395, Japan · Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan · Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai 980-8577, Japan · Graduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Tokyo 182-8585, Japan

Abstract

Obstacle-aided locomotion is a fundamental capability for snake robots to traverse complex environments. However, conventional rigid-link snake robots often suffer from stagnation or jamming caused by their low joint density (i.e., the number of joints per unit length). This results in discontinuous contact with obstacles, unlike the continuous adaptation of biological snakes. To investigate the effect of joint density on obstacle-aided locomotion performance, we utilized a joint-repositionable snake robot mechanism that decouples actuators from joints, enabling a high-density architecture. We developed two experimental models with identical total lengths but different joint densities (high-density and low-density) and conducted comparative propulsion experiments in obstacle environments with varying obstacle diameters. The experimental results demonstrate that the high-density model substantially suppresses the abrupt shifts in reaction forces that cause stagnation in the low-density model. By maintaining smooth contact points, the high-density configuration reduces power consumption and achieves stable, continuous propulsion. These results highlight high joint density as a key factor in improving the environmental adaptability of snake robots in complex terrains.

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