Leonard Jaillet

Computer Vision and Pattern Recognition · 2005–2011

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #9,526 of 21,575 by trust here, #11,498 by citations
• Aerospace Engineering — 7 citations into it; #1,983 of 6,421 by trust here, #2,509 by citations
• Robotics & Control — 7 citations into it
• Control and Systems Engineering — 6 citations into it; #3,299 of 8,257 by trust here, #3,389 by citations
• Artificial Intelligence — 5 citations into it

Whom Leonard Jaillet trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Steven M. LaValle
2. C. Urmson
3. Lydia E. Kavraki
4. Thierry Siméon
5. Reid G. Simmons
6. James C. Spall
7. James J. Kuffner Jr.
8. Emrah Akin Sisbot
9. Howie Choset
10. Jean-Claude Latombe

Who trusts Leonard Jaillet overall

1. Sertac Karaman
2. Nikhil Chavan Dafle
3. Iram Noreen
4. Jim Mainprice
5. Steven M. LaValle
6. Emilio Frazzoli
7. Alberto Rodriguez
8. Mohamed Elbanhawi
9. Panagiotis Papadakis
10. Amna Khan

Papers from Leonard Jaillet's perspective

Ordered by how strongly the researchers Leonard Jaillet trusts endorse each paper. Same corpus, a different order for every researcher.

1. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
2. Planning algorithms
3. Real-time motion planning for agile autonomous vehicles (Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148))
4. Approaches for heuristically biasing RRT growth (IEEE/RJS International Conference on Intelligent RObots and Systems)
5. Path planning using lazy PRM (Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065))
6. Visibility-based probabilistic roadmaps for motion planning (Adv. Robotics)
7. Principles of Robot Motion: Theory, Algorithms, and Implementations [Book Review] (IEEE robotics & automation magazine)
8. Rapidly-exploring random trees : a new tool for path planning
9. Manipulation Planning with Probabilistic Roadmaps (Int. J. Robotics Res.)
10. Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain (Proceedings of the 2005 IEEE International Conference on Robotics and Automation)

Their papers

• Planning human-aware motions using a sampling-based costmap planner (2011) — 126 citations
• Sampling-Based Path Planning on Configuration-Space Costmaps (2010) — 406 citations
• Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain (2005) — 315 citations