| Class meetings: | Mondays, Wednesdays, 2:00-3:20PM, NSH 3002 |
| Who | |
| Maxim Likhachev |
| Who | |
| Itamar Mishani | |
| Siddharth Saha |
| Who | Location | Hours |
| Itamar | NSH 4513 | Mon 3:30-4:30PM |
| Saha | NSH A507 | Wed 5:30-6:30PM |
| Maxim | NSH 3211 | By appointment |
| Three homeworks | 33% |
| Exam | 20% |
| In-class pop quizzes | 10% |
| Final project | 32% |
| Participation | 5% |
| Date | Topic | Slides | Homeworks | Additional Info |
| 1/17 (Wed) | Introduction, What is Robot Planning? | slides | - |
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| 1/22 (Mon) | Planning Representations: Skeleton-, Grid- and Lattice-based Graphs, Explicit vs. Implicit Graphs | slides | - |
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| 1/24 (Wed) | Search Algorithms: Uninformed A* Search | slides | - |
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| 1/28 (Mon) | Search Algorithms: A* Search, Multi-goal A* | slides | - |
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| 1/31 (Wed) | Search Algorithms: Heuristics, Backward A*, Weighted A* Search | slides | - |
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| 2/5 (Mon) | Interleaving Planning and Execution: Anytime Heuristic Search | slides | - |
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| 2/8 (Wed) | Interleaving Planning and Execution: Incremental Heuristic Search | slides | - |
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| 2/12 (Mon) | Interleaving Planning and Execution: Incremental Heuristic Search (cont'd) | - | - |
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| 2/15 (Wed) | Interleaving Planning and Execution: Real-time Heuristic Search | slides | - |
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| 2/19 (Mon) | Case Study: Planning for Autonomous Driving | slides | - |
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| 2/21 (Wed) | Planning Representations: Probabilistic Roadmaps for Continuous Spaces | slides | - |
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| 2/26 (Mon) | Planning Representations/Search Algorithms: RRT, RRT-Connect, RRT* | slides | - |
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| 2/28 (Wed) | Planning Representations/Search Algorithms: RRT, RRT-Connect, RRT* (cont'd) | - | - |
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| 3/4 (Mon) | SPRING BREAK: NO CLASSES | - | - |
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| 3/6 (Wed) | SPRING BREAK: NO CLASSES | - | - |
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| 3/11 (Mon) | Case Study: Planning for Mobile Manipulators and Articulated Robots | slides | - |
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| 3/13 (Wed) | Search Algorithms: Markov property, independent vs. dependent variables | - |
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| 3/18 (Mon) | Case Study: Planning for Coverage, Mapping and Surveyal | slides | - |
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| 3/20 (Wed) | Presentation of Final Project Proposals | - |
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| 3/25 (Mon) | Planning Representations: Symbolic Representation for Task Planning | slides | - |
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| 3/27 (Wed) | Search Algorithms: Planning on Symbolic Representations | slides | - |
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| 4/1 (Mon) | Planning under Uncertainty: Minimax Formulation | slides | - |
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| 4/3 (Wed) | Planning under Uncertainty: Expected Value Formulation | slides | - |
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| 4/8 (Mon) | Planning under Uncertainty: Solving Markov Decision Processes | slides | - |
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| 4/10 (Wed) | Exam | - | - |
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| 4/15 (Mon) | Planning under Uncertainty: Partially-Observable Markov Decision Processes (POMDPs) | slides | - |
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| 4/17 (Wed) | Multi-Robot Planning | slides | - |
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| 4/22 (Mon) | Multi-Robot Planning (cont'd) | - | - |
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| 5/24 (Wed) | Final Project Presentations | - | - |
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