Multi-objective Motion Planning
Multi-Objective Motion Planning is a motion planning paradigm that simultaneously optimizes multiple, potentially conflicting objectives—such as path cost, execution time, and energy consumption—within a unified framework, distinguishing it from single-objective approaches by explicitly addressing trade-offs between competing performance criteria.
50
Publications
3.3K
Citations
170
Authors
93
Institutions
Publications per year
2017–2026
33
Parents
50
1–5 of 50
170
2
h-index
Universidade Federal de Minas Gerais, Brazil
2 publications · 89 citations
2
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2
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2
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King Fahd University of Petroleum and Minerals, Saudi Arabia
2 publications · 68 citations
2
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1–5 of 170
93
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
453 citations
National Institute of Technology Rourkela
Rourkela, India
2 h-index
4 publications
94 citations

Polytechnique Montréal
Montreal, Canada
2 h-index
5 publications
149 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
139 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
6 publications
1.3K citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
7 publications
317 citations
Shandong Institute of Automation
Jinan, China
2 h-index
5 publications
109 citations
Stanford University
Stanford, United States
2 h-index
3 publications
88 citations
1–8 of 93
3 publications · 286 citations
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2 publications · 326 citations
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2 publications · 42 citations
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2 publications · 31 citations
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2 publications · 70 citations
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