Difference between revisions of "Path Planning Systems"
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| − | 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, | + | 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. |
== People == | == People == | ||
| Line 15: | Line 15: | ||
== Task List == | == 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. | ** [ ] Add relevant resources to the "Resources" section. | ||
| − | * [ ] | + | * [ ] Maps |
| − | + | ** [ ] Determine best type of map | |
| − | |||
| − | |||
| − | * | ||
| − | * [ ] Determine best type of map | ||
** [ ] Coordinate with [[Data Filtering Systems]] group | ** [ ] 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 == | == Resources == | ||
Revision as of 17:58, 24 September 2007
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
- Path Planning Meeting (with Dr. Vela)
- Monday, 1pm, Van Leer (VL) E368
- IGVC Planning Day
- Tuesday, 6-7pm, Tin Building
- 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.
