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Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme | |
Jiahao Chen1,4,5![]() ![]() ![]() ![]() | |
发表期刊 | NEUROCOMPUTING
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ISSN | 0925-2312 |
2019-04-28 | |
卷号 | 339期号:暂无页码:116-129 |
摘要 | Human can accomplish manipulation with high precision, flexibility and robustness. As a musculoskeletal system naturally possesses superiorities of flexibility and robustness, realizing human-like manipulation with the musculoskeletal system is investigated in this paper. However, the redundancy, coupling and strong nonlinearity of musculoskeletal system will bring many challenges for control. Therefore, based on strategies of human manipulation and muscle coordination, a biologically inspired control scheme is proposed. First, we apply a strategy based on attractive region in environment to plan the manipulation under environmental constraints in the task space. Then, we extract muscle synergies as movement primitives and design an iterative learning controller to coordinate these synergies to accomplish complex manipulation. The muscle synergy based iterative learning controller can overcome the difficulty of constructing an explicit model of the sophisticated musculoskeletal system and improve motion learning by transforming the high dimensional muscle excitation into a lower dimensional space. With the combination of strategy based on attractive region in environment and muscle synergy based controller, we preliminarily realize human-like manipulation with high precision, flexibility and robustness. The effectiveness of our control scheme is verified in a peg-in-hole assembly task. (C) 2019 Elsevier B.V. All rights reserved. |
关键词 | Human-like manipulation Musculoskeletal system Biologically inspired Muscle synergy Attractive region in environment |
DOI | 10.1016/j.neucom.2018.12.069 |
关键词[WOS] | MUSCLE SYNERGIES ; DYNAMIC SIMULATIONS ; ATTRACTIVE REGION ; ARM ; CONSTRUCTION ; MOVEMENT ; SOFTWARE ; MODEL |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61627808] ; National Natural Science Foundation of China[91648205] ; National Key Research and Development Program of China[2017YFB1300203] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32000000] ; National Natural Science Foundation of China[61627808] ; National Natural Science Foundation of China[91648205] ; National Key Research and Development Program of China[2017YFB1300203] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32000000] |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000461166500012 |
出版者 | ELSEVIER SCIENCE BV |
七大方向——子方向分类 | 类脑模型与计算 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/24961 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
通讯作者 | Hong Qiao |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 5.Beijing Key Lab Res & Applicat Robot Intelligence, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Jiahao Chen,Shanlin Zhong,Erlong Kang,et al. Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme[J]. NEUROCOMPUTING,2019,339(暂无):116-129. |
APA | Jiahao Chen,Shanlin Zhong,Erlong Kang,&Hong Qiao.(2019).Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme.NEUROCOMPUTING,339(暂无),116-129. |
MLA | Jiahao Chen,et al."Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme".NEUROCOMPUTING 339.暂无(2019):116-129. |
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