Reactive Trajectory Generation is a trajectory generation approach that dynamically adjusts motion paths in real time based on immediate environmental feedback, distinguishing itself from predictive or plan-ahead methods by prioritizing responsiveness to unforeseen changes.
30
Publications
2.6K
Citations
97
Authors
56
Institutions
Publications per year
2017–2026
6
Parents
Publications
30
1–5 of 30
Authors
97
- AK
2
h-index
- BN
2
h-index
- MW
2
h-index
- SK
2
h-index
- JZ
2
h-index
1–5 of 97
Institutions
56
Centre National de la Recherche Scientifique
Paris, France
3 h-index
9 publications
228 citations
Stanford University
Stanford, United States
3 h-index
7 publications
1.6K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
608 citations
Sorbonne Université
Paris, France
2 h-index
7 publications
172 citations
Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
272 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
5 publications
2.4K citations
Robert Bosch (United States)
Farmington Hills, United States
2 h-index
2 publications
1K citations
University of Science and Technology Beijing
Beijing, China
1 h-index
2 publications
96 citations
1–8 of 56
Venues
- The International Journal of Robotics Research
IJRR · 5 publications · 641 citations
5
h-index
- IEEE Transactions on Intelligent Transportation Systems
3 publications · 251 citations
3
h-index
- The Journal of Chemical Physics
2 publications · 34 citations
2
h-index
- Probability Theory and Related Fields
1 publications · 52 citations
1
h-index
- Journal of Chemical Theory and Computation
JCTC · 1 publications · 152 citations
1
h-index
1–5