RRT-connect: An efficient approach to single-query path planning
Stanford University · Iowa State University
Abstract
A simple and efficient randomized algorithm is presented for solving single-query path planning problems in high-dimensional configuration spaces. The method works by incrementally building two rapidly-exploring random trees (RRTs) rooted at the start and the goal configurations. The trees each explore space around them and also advance towards each other through, the use of a simple greedy heuristic. Although originally designed to plan motions for a human arm (modeled as a 7-DOF kinematic chain) for the automatic graphic animation of collision-free grasping and manipulation tasks, the algorithm has been successfully applied to a variety of path planning problems. Computed examples include generating…
Citation impact
- FWCI
- 27.23
- Percentile
- 100%
- References
- 28
Authors
2Topics & keywords
- Workspace
- Motion planning
- Computer science
- Animation
- Heuristic
- Path (computing)
- Collision detection
- Kinematics
- Sustainable cities and communities