2016
DOI: 10.1177/1729881416657740
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Acquisition of earthworm-like movement patterns of many-segmented peristaltic crawling robots

Abstract: In recent years, attention has been increasingly devoted to the development of rescue robots that can protect humans from the inherent risks of rescue work. Particularly, anticipated is the development of a robot that can move deeply through small spaces. We have devoted our attention to peristalsis, the movement mechanism used by earthworms. A reinforcement learning technique used for the derivation of the robot movement pattern, Q-learning, was used to develop a threesegmented peristaltic crawling robot with… Show more

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Cited by 12 publications
(3 citation statements)
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“…Previous works on peristaltic [3,5,[7][8][9][10][11] and caterpillar crawling robots [4,[12][13][14] have used actuators such as shape-memory alloys, pneumatic pumps, servo motors, and magnetic fluid. However, issues with existing designs include poor structural compliance due to rigid components [7,10,12], structural complexity [10,12] making miniaturization difficult, and tethered operation [5,12,14] limiting the autonomous operation of the robot especially in narrow space. To address these problems, we propose a lightweight, soft crawler made of magneto-active elastomers (MAE), enabling the robot to crawl untethered within a pipe while being controlled using magnets on the outside of the tube.…”
Section: Introductionmentioning
confidence: 99%
“…Previous works on peristaltic [3,5,[7][8][9][10][11] and caterpillar crawling robots [4,[12][13][14] have used actuators such as shape-memory alloys, pneumatic pumps, servo motors, and magnetic fluid. However, issues with existing designs include poor structural compliance due to rigid components [7,10,12], structural complexity [10,12] making miniaturization difficult, and tethered operation [5,12,14] limiting the autonomous operation of the robot especially in narrow space. To address these problems, we propose a lightweight, soft crawler made of magneto-active elastomers (MAE), enabling the robot to crawl untethered within a pipe while being controlled using magnets on the outside of the tube.…”
Section: Introductionmentioning
confidence: 99%
“…This is because numerous control variables would result in an extremely huge design space. Consequently, searching for (nearly) optimal gaits for given locomotion tasks would become computationally heavy and slow [22]. Hence, establishing a generic control scheme which could reduce the number of control variables and could be easily extended to hyper-redundant robots with any number of segments is significant for real-time applications.…”
Section: Introductionmentioning
confidence: 99%
“…McKibben artificial muscles [2,3]) or structural mechanisms (e.g. buckled beams [13,15], linkage structures [14,26], and coupled cables [17,26]). With coupled deformations, it would not be necessary to employ multiple types of actuators or set additional bristles on the segments, which could greatly simplify the robot design, reduce the number of actuators, and increase the system robustness.…”
Section: Introductionmentioning
confidence: 99%