Resource-Constrained Planning is a mission planning approach that systematically incorporates limitations on available resources—such as time, energy, bandwidth, or computational capacity—into the decision-making process to generate feasible and optimized operational sequences under bounded resource conditions.
169
Publications
9.1K
Citations
484
Authors
247
Institutions
Publications per year
2017–2026
50
Parents
Publications
169
1–5 of 169
Authors
484
- DE
4
h-index
- MF
4
h-index
- DL
4
h-index
- AJ
4
h-index
- SK
3
h-index
1–5 of 484
Institutions
247
Ames Research Center
Mountain View, United States
10 h-index
30 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
295 citations
University of Michigan
Ann Arbor, United States
5 h-index
11 publications
388 citations
Arizona State University
Tempe, United States
5 h-index
7 publications
422 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
218 citations
Saarland University
Saarbrücken, Germany
4 h-index
9 publications
212 citations
Jet Propulsion Laboratory
Pasadena, United States
3 h-index
12 publications
234 citations
University of Toronto
Toronto, Canada
3 h-index
5 publications
227 citations
1–8 of 247
Venues
- Journal of Artificial Intelligence Research
JAIR · 9 publications · 2.2K citations
9
h-index
- Proceedings of the International Conference on Automated Planning and Scheduling
6 publications · 185 citations
6
h-index
- Management Science
4 publications · 389 citations
4
h-index
- Computers & Operations Research
3 publications · 205 citations
3
h-index
- International Joint Conference on Artificial Intelligence
Conference · 3 publications · 99 citations
3
h-index
1–5