J
James J. Kuffner
Researcher at Google
Publications - 165
Citations - 19800
James J. Kuffner is an academic researcher from Google. The author has contributed to research in topics: Motion planning & Robot. The author has an hindex of 62, co-authored 165 publications receiving 18071 citations. Previous affiliations of James J. Kuffner include University of Tokyo & Stanford University.
Papers
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Proceedings ArticleDOI
RRT-connect: An efficient approach to single-query path planning
TL;DR: A simple and efficient randomized algorithm is presented for solving single-query path planning problems in high-dimensional configuration spaces by incrementally building two rapidly-exploring random trees rooted at the start and the goal configurations.
Journal ArticleDOI
Randomized kinodynamic planning
TL;DR: In this paper, the authors presented the first randomized approach to kinodynamic planning (also known as trajectory planning or trajectory design), where the task is to determine control inputs to drive a robot from an unknown position to an unknown target.
Proceedings ArticleDOI
Randomized kinodynamic planning
TL;DR: A state-space perspective on the kinodynamic planning problem is presented, and a randomized path planning technique that computes collision-free kinodynamic trajectories for high degree-of-freedom problems is introduced.
Automated construction of robotic manipulation programs
TL;DR: A new voting-based object pose extraction algorithm that does not rely on 2D/3D feature correspondences and thus reduces the early-commitment problem plaguing the generality of traditional vision-based pose extraction algorithms is shown.
OpenRAVE: A Planning Architecture for Autonomous Robotics
Rosen Diankov,James J. Kuffner +1 more
TL;DR: This work introduces an open-source cross-platform software architecture called OpenRAVE, the Open Robotics and Animation Virtual Environment, targeted for real-world autonomous robot applications, and includes a seamless integration of 3-D simulation, visualization, planning, scripting and control.