Path Planning Systems
Revision as of 15:12, 6 October 2007 by JeanPierreDLC (talk | contribs) (→Meetings: Meeting time with Dr. Vela changed.)
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, maps, and learning are the main focus points of this group.
Contents
People
Meetings
- IGVC Planning Day
- Tuesday, 6-7pm, Tin Building
- Path Planning Meeting (with Dr. Vela)
- Friday, 1pm, Van Leer (VL) E368
- IGVC Work Day
- Saturday, 2-6pm, Tin Building
Task List
- [ ] Path planning algorithms
- [ ] Determine (research) relevant algorithms
- [ ] for autonomous navigation challenge
- [ ] for GPS waypoint navigation challenge
- [ ] Add relevant resources to the "Resources" section.
- [ ] Determine (research) relevant algorithms
- [ ] Maps
- [ ] Determine best type of map
- [ ] Coordinate with Data Filtering Systems group
- [ ] Machine learning
- [ ] Algorithms for learning
- [ ] Evaluating effectiveness of cost function
- [ ] Simulation
- [ ] Create MATLAB/C++ simulation base for testing
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.
