Design of Rolling Motion for Snake-Like Robots Using Center-of-Gravity Shift

Abstract The snake-like robot can travel over environments that are difficult for wheeled mobility mechanisms. However, undulating locomotion requires high power consumption. We propose an efficient method that integrates the center-of-gravity (COG) shifting for the navigation of the robot to address the aforementioned problem. The proposed method allows the use of rolling motion with high traveling efficiency on level ground and undulating locomotion in water as well as other uneven surfaces. In this paper, we present a design method using the multi-objective genetic algorithm in terms of the traveling velocity of the robot, load, and energy consumption of the servomotor. The results of the motion design show that the COG shift motion mode was obtained as the optimal solution. It was observed that the COG shift motion with the designed parameters can achieve high traveling efficiency compared to that with conventional undulating locomotion by experiment.

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Publication Details

Journal
Journal of Mechanisms and Robotics
Published
2024-11-28
DOI
https://doi.org/10.1115/1.4067307
Citations
3
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.64
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article

Design of Rolling Motion for Snake-Like Robots Using Center-of-Gravity Shift

Tsuyoshi Kimoto, M. Chiba, Akio Yamano
3 citations
Journal of Mechanisms and Robotics
Modular Robots and Swarm Intelligence
0.64
article

Design of Rolling Motion for Snake-Like Robots Using Center-of-Gravity Shift

Tsuyoshi Kimoto, M. Chiba, Akio Yamano
article en
3 citations

Abstract

Abstract The snake-like robot can travel over environments that are difficult for wheeled mobility mechanisms. However, undulating locomotion requires high power consumption. We propose an efficient method that integrates the center-of-gravity (COG) shifting for the navigation of the robot to address the aforementioned problem. The proposed method allows the use of rolling motion with high traveling efficiency on level ground and undulating locomotion in water as well as other uneven surfaces. In this paper, we present a design method using the multi-objective genetic algorithm in terms of the traveling velocity of the robot, load, and energy consumption of the servomotor. The results of the motion design show that the COG shift motion mode was obtained as the optimal solution. It was observed that the COG shift motion with the designed parameters can achieve high traveling efficiency compared to that with conventional undulating locomotion by experiment.

Journal of Mechanisms and RoboticsVol. 17(6)
Osaka Prefecture University (JP), Osaka Aoyama University (JP), Yamato University (JP)
Affordable and clean energy
Openalex Percentile: Top 34%
Modular Robots and Swarm Intelligence
0.64
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