Jean-Claude Latombe is affiliated with Stanford University in the United States. Their academic work centers on robotics and artificial intelligence, with a particular focus on the theory and practice of robot motion planning.
Throughout their career, Jean-Claude Latombe has received notable recognition from professional organizations in the field. In 1993, they were named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for contributions to robotics, specifically in the domain of robot motion planning. More recently, in 2021, they received the IEEE Robotics & Automation Award. This award cited their foundational contributions to robot motion planning and their leadership within the field.
Jean-Claude Latombe's research presence is primarily associated with Stanford University, where their work has contributed to advancing knowledge in robotics. While specific details on recent papers, frequent co-authors, and publication venues are not listed, their recognition by major organizations indicates ongoing involvement and impact in the robotics research community.
Jean-Claude Latombe
L.E. Kavraki;P. Svestka;J.-C. Latombe;M.H. Overmars
Howie M. Choset;Jean-Claude Latombe
Jérîme Barraquand;Jean-Claude Latombe
David Hsu;Jean-Claude Latombe;Rajeev Motwani
J. Barraquand;B. Langlois;J.-C. Latombe
David Hsu;Robert Kindel;Jean-Claude Latombe;Stephen M. Rock
Héctor H. González-Baños;Jean-Claude Latombe
L. Kavraki;J.-C. Latombe
Jérôme Barraquand;Jean Claude Latombe
David Hsu;Lydia E. Kavraki;Jean-Claude Latombe;Rajeev Motwani
L.E. Kavraki;M.N. Kolountzakis;J.-C. Latombe
Gildardo Sánchez;Jean-Claude Latombe
Jér ocirc Barraquand;Lydia Kavraki;Jean-Claude Latombe;Rajeev Motwani
Leonidas J. Guibas;Jean Claude Latombe;Steven M. Lavalle;David Lin
Yoshihito Koga;Koichi Kondo;James Kuffner;Jean-Claude Latombe
Randall H. Wilson;Jean-Claude Latombe
Lydia E. Kavraki;Jean-Claude Latombe;Rajeev Motwani;Prabhakar Raghavan
Jean-Claude Latombe
David Hsu;Jean-Claude Latombe;Hanna Kurniawati
John R. Adler;Achim Schweikard;Rhea Tombropoulos;Jean-Claude Latombe
If you think any of the details on this page are incorrect, let us know.
Exploring online computer science degrees opens up a variety of educational and career options. For those eager to accelerate their journey, the quickest degree to get online can provide a fast track into the tech field without sacrificing quality. These programs are ideal if you need flexibility and want to enter the workforce sooner.
Specializing can also boost your earning potential. An ai degree online is a cutting-edge choice, providing skills in a rapidly growing area with high demand across industries like finance, healthcare, and robotics.
When choosing your path, it’s wise to consider the top 10 best majors for the future, many of which intersect with technology and data science. These majors offer strong job prospects and higher salaries after graduation.
For advancing your credentials, targeting the easiest master degree to get can provide a practical option for career growth and new opportunities—especially if you prefer a more manageable workload.
Chinese Academy of Sciences
University of Tartu
Jagiellonian University
The Ohio State University
Centre national de la recherche scientifique, CNRS
Queen's University
University of California, Davis
Michigan State University
University of California, San Diego
Nanyang Technological University
Egypt-Japan University of Science and Technology
Duke University
University of Kurdistan
Charité - University Medicine Berlin
University of California, Merced
University of Liverpool