Path Planning Systems
Revision as of 15:00, 22 September 2007 by JeanPierreDLC (talk | contribs) (→Meetings: Spelled out 'with')
The "Path Planning Systems" groups is responsible for find an optimal path through the environment, given a model of the environment from the data (provided by Data Filtering Systems group). This group will be developing the high-level code to control Candii during the autonomous and GPS waypoint navigation challenges--essentially, Candii's AI. Path planning algorithms, optimal switching, and maps are the main focus points of this group.
Contents
People
Meetings
- IGVC Planning Day
- Tuesday, 6-7pm, Tin Building
- IGVC Work Day
- Saturday, 2-6pm, Tin Building
- Path Planning Meeting (with Dr. Vela)
- Monday, 1pm, Van Leer (VL) E368
Task List
- [ ] Research different types of path planning algorithms
- [ ] Add relevant resources to the "Resources" section.
- [ ] Determine relevant algorithms
- [ ] for autonomous navigation challenge
- [ ] for GPS waypoint navigation challenge
- [ ] Research control theory
- [ ] Optimal switching
- [ ] Determine best type of map (representation of environment)
- [ ] Coordinate with Data Filtering Systems group
Resources
- "Planning Algorithms" by Steven M. LaValle
- http://planning.cs.uiuc.edu
- Jin has a hard copy.
- "Probabilistic Robotics" by Sebastian Thurn, Wolfram Burgard, Dieter Fox
- JP has a hard copy.
- "Artificial Intelligence - A Modern Approach" by Peter Russel and Stuart Norvig
- JP has a hard copy.
- IEEE Xplore
- Wiener and Mallot. 'Fine-to-Coarse' Route Planning and Navigation in Regionalized Environments. Max-Planck-Institute Biological Cybernetics. Technical Report TR-115, 2003.
- Kuffner. Efficient Optimal Search of Uniform-Cost Grids and Lattices. Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004. 1946-1950.