Contact-Aware Trajectory Optimization is a trajectory optimization framework that explicitly incorporates the timing, location, and physics of intermittent contact interactions with the environment as decision variables, distinguishing it from conventional methods that either assume fixed contact schedules or decouple contact planning from motion generation.
16
Publications
431
Citations
49
Authors
28
Institutions
Publications per year
2017–2026
11
Parents
Publications
16
Fast Contact-Implicit Model Predictive Control
Simon Le Cleac’h, Taylor A. Howell, Shuo Yang et al. · IEEE Transactions on Robotics · 2024 · 83 citations
1–5 of 16
Authors
49
- KH
3
h-index
- LR
2
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- AÖ
2
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- JL
2
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- SH
1
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1–5 of 49
Institutions
28
Duke University
Durham, United States
3 h-index
2 publications
58 citations
Northeastern University
Boston, United States
3 h-index
8 publications
184 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
60 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
2 h-index
7 publications
120 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
2 publications
58 citations
Université Paris Sciences et Lettres
Paris, France
1 h-index
1 publications
16 citations
Vaughn College of Aeronautics and Technology
New York, United States
1 h-index
1 publications
83 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
5 publications
415 citations
1–8 of 28
Venues
- Autonomous Robots
1 publications · 39 citations
1
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- IEEE Robotics and Automation Letters
1 publications · 26 citations
1
h-index
- IEEE Transactions on Robotics
1 publications · 83 citations
1
h-index
- Tribology International
1 publications · 19 citations
1
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- 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference · 1 publications · 17 citations
1
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1–5