Compliant Locomotion Control for a Quadruped Robot with Damper Coefficients Assigned by Reinforcement Learning
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- Narikiyo Tatsuo
- Toyota Technological Institute
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- Matsumoto Taiga
- Toyota Technological Institute
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- Ugurlu Barkan
- Ozyegin University
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- Kawanishi Michihiro
- Toyota Technological Institute
Bibliographic Information
- Other Title
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- 強化学習を用いてダンパ係数を指定した4脚ロボットのコンプライアンス制御
- キョウカ ガクシュウ オ モチイテ ダンパ ケイスウ オ シテイ シタ 4キャク ロボット ノ コンプライアンス セイギョ
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Abstract
Since quadruped robots have been considered to be effective on rough terrain, they have been studied in various fields such as rescue and planetary exploration. In the legged locomotion literature, researchers mostly focus on mechatronics hardware and actuation systems of quadruped robots. Nevertheless, such systems may be questionable from the stability point of view, in particular, for dynamic walking and running. Therefore, to develop high locomotion capabilities to adjust to different type of terrains, we propose a new type of compliance control based on reinforcement learning. In this method, compliance control parameters of each joint can be adjusted by external forces acting on the robot feet. Due to this adaptive mechanism, dynamically balanced jumping motion and trotting quadruped locomotion on the rough terrain can be realized. In order to demonstrate the efficiency of the proposed method, jumping and trotting experiments were conducted on our quadruped robot. As a result, we obtained periodic, continuous and repetitive jumping and trotting cycles in which dynamic balance was ensured.
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 35 (5), 414-423, 2017
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679705009024
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- NII Article ID
- 130006855063
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 028335475
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed