Thierry Siméon
Computer Vision and Pattern Recognition · 2000–2012
A researcher in the Science corpus: 10 papers; trusts 13 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it; #5,130 of 21,575 by trust here, #5,890 by citations
- Artificial Intelligence — 11 citations into it
- Control and Systems Engineering — 11 citations into it; #807 of 8,257 by trust here, #618 by citations
- Robotics & Control — 9 citations into it; #263 of 609 by trust here, #345 by citations
- Social Psychology — 8 citations into it; #6,016 of 15,694 by trust here, #4,654 by citations
- Aerospace Engineering — 7 citations into it; #970 of 6,421 by trust here, #1,665 by citations
Whom Thierry Siméon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven M. LaValle
- Lydia E. Kavraki
- Dimitri P. Bertsekas
- Jean-Paul Laumond
- Jean-Claude Latombe
- C. Urmson
- Emrah Akin Sisbot
- James J. Kuffner Jr.
Who trusts Thierry Siméon overall
- Steven M. LaValle
- Mitul Saha
- Mohamed Elbanhawi
- Anna Yershova
- David Hsu
- Jim Mainprice
- Pekka Isto
- Oliver Kroemer
- Boyu Zhou
- Leonard Jaillet
Papers from Thierry Siméon's perspective
Ordered by how strongly the researchers Thierry Siméon trusts endorse each paper. Same corpus, a different order for every researcher.
- Planning algorithms
- Probabilistic roadmaps for path planning in high-dimensional configuration spaces
- Path planning using lazy PRM (Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065))
- Approaches for heuristically biasing RRT growth (IEEE/RJS International Conference on Intelligent RObots and Systems)
- Visibility-based probabilistic roadmaps for motion planning (Adv. Robotics)
- Real-time motion planning for agile autonomous vehicles (Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148))
- Principles of Robot Motion: Theory, Algorithms, and Implementations [Book Review] (IEEE robotics & automation magazine)
- Rapidly-exploring random trees : a new tool for path planning
- Manipulation Planning with Probabilistic Roadmaps (Int. J. Robotics Res.)
- Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain (Proceedings of the 2005 IEEE International Conference on Robotics and Automation)
Their papers
- The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty (2007) — 256 citations
- Manipulation Planning with Probabilistic Roadmaps (2004) — 319 citations
- Planning human-aware motions using a sampling-based costmap planner (2011) — 126 citations
- A Human Aware Mobile Robot Motion Planner (2007) — 534 citations
- Navigation in the presence of humans (2005) — 102 citations
- How may I serve you?: a robot companion approaching a seated person in a helping context (2006) — 398 citations
- Sharing effort in planning human-robot handover tasks (2012) — 80 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
- Visibility-based probabilistic roadmaps for motion planning (2000) — 388 citations