An impact dynamics model and sequential optimization to generate impact motions for a humanoid robot
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- Atsushi Konno
- Department of Aerospace Engineering, Tohoku University, Sendai, Japan
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- Tomoya Myojin
- Department of Aerospace Engineering, Tohoku University, Sendai, Japan
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- Takaaki Matsumoto
- Department of Aerospace Engineering, Tohoku University, Sendai, Japan
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- Teppei Tsujita
- Department of Aerospace Engineering, Tohoku University, Sendai, Japan
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- Masaru Uchiyama
- Department of Aerospace Engineering, Tohoku University, Sendai, Japan
書誌事項
- 公開日
- 2011-07-07
- 権利情報
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- https://journals.sagepub.com/page/policies/text-and-data-mining-license
- DOI
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- 10.1177/0278364911405870
- 公開者
- SAGE Publications
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説明
<jats:p>When a human needs to generate a large force, they will try to apply an impulsive force with dynamic cooperation of the whole body. In this paper we first discuss impact dynamics of humanoid robots and then propose a way to generate impact motions for a humanoid robot to exert a large force while keeping a balance. In the impact motion generation, Sequential Quadratic Programming (SQP) is used to solve a non-linear programming problem in which an objective function and constraints may be non-linear functions of the motion parameters. Impact motions are generated using SQP so that the impact force is maximized while the angular momentum is minimized. Breaking wooden boards with a Karate chop is taken as a case study because it is a typical example of tasks that utilize impulsive force. A humanoid robot motion for the Karate chop is generated by the proposed method. In order to validate the designed motion, experiments are carried out using a small humanoid robot Fujitsu HOAP-2. The Karate-chop motion generated by the proposed method is compared with the motion designed by a human. The results of breaking the wooden boards experiments clearly show the effectiveness of the proposed method.</jats:p>
収録刊行物
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- The International Journal of Robotics Research
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The International Journal of Robotics Research 30 (13), 1596-1608, 2011-07-07
SAGE Publications
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詳細情報 詳細情報について
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- CRID
- 1362825893675828096
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- ISSN
- 17413176
- 02783649
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- データソース種別
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- Crossref
- OpenAIRE