Secondary Task Optimization
Secondary Task Optimization is a methodological contribution within the field of redundancy resolution that specifically enhances performance on auxiliary objectives by efficiently leveraging shared representations without compromising primary task accuracy.
35
Publications
1.8K
Citations
106
Authors
63
Institutions
Publications per year
2017–2026
16
Parents
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106
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63
Guangdong Institute of Intelligent Manufacturing
Guangzhou, China
3 h-index
10 publications
710 citations

Swansea University
Swansea, United Kingdom
3 h-index
3 publications
183 citations
Virginia Tech
Blacksburg, United States
2 h-index
5 publications
116 citations

University of Victoria
Victoria, Canada
2 h-index
6 publications
549 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
517 citations
Wuhu Hit Robot Technology Research Institute
Wuhu, China
2 h-index
4 publications
410 citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
80 citations
École Centrale de Nantes
Nantes, France
1 h-index
1 publications
32 citations
1–8 of 63
2 publications · 92 citations
2
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1 publications · 62 citations
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TRR · 1 publications · 10 citations
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1 publications · 31 citations
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1 publications · 10 citations
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1–5