Paint Path Optimization
Paint Path Optimization is a computational method in painting robotics that determines the most efficient trajectory for a robotic manipulator to follow during surface coating, distinguished by its focus on minimizing paint waste, application time, and energy consumption while ensuring uniform coverage.
20
Publications
726
Citations
74
Authors
26
Institutions
Publications per year
2017–2026
9
Parents
20
1–5 of 20
74
Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden
3 publications · 101 citations
3
h-index
Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden
3 publications · 101 citations
3
h-index
Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden
2 publications · 75 citations
2
h-index
Fraunhofer Chalmers Research Centre for Industrial Mathematics, Sweden
2 publications · 75 citations
2
h-index
2
h-index
1–5 of 74
26
Tsinghua University
Beijing, China
3 h-index
7 publications
95 citations

Southeast University
Nanjing, China
3 h-index
6 publications
169 citations
Fraunhofer Chalmers Research Centre for Industrial Mathematics
Gothenburg, Sweden
3 h-index
16 publications
566 citations
Jiangsu University
Zhenjiang, China
2 h-index
2 publications
49 citations
Chalmers University of Technology
Gothenburg, Sweden
2 h-index
4 publications
150 citations
Jiangsu University of Science and Technology
Zhenjiang, China
2 h-index
7 publications
169 citations

University of Tehran
Tehran, Iran
1 h-index
2 publications
150 citations
ETH Zurich
Zurich, Switzerland
1 h-index
2 publications
64 citations
1–8 of 26
1 publications · 12 citations
1
h-index
1 publications · 148 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 22 citations
1
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IJMR · 1 publications · 26 citations
1
h-index
1–5