CMU卡内基梅隆大学机器人规划与决策课程课件

[{"title":"（ 21 个子文件 20.36MB ） CMU卡内基梅隆大学机器人规划与决策课程课件","children":[{"title":"Planning and Decision-making in Robotics","children":[{"title":"2 Planning Representations Implicit vs Explicit Graphs Skeletonization Cell decomposition Lattice based Graphs.pdf <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"9 Planning Representation_Search Algorithms：RRT, RRT-Connect, RRT_ by Oren Salzman.pdf <span style='color:#111;'> 3.08MB </span>","children":null,"spread":false},{"title":"10 Case Study：Planning for Mobile Manipulators and Legged Robots.pdf <span style='color:#111;'> 1.58MB </span>","children":null,"spread":false},{"title":"20 Exam Topics.pdf <span style='color:#111;'> 519.46KB </span>","children":null,"spread":false},{"title":"1 Introduction, What is Planning, Role of planning in Robots..pdf <span style='color:#111;'> 1.37MB </span>","children":null,"spread":false},{"title":"16 Planning under Uncertainty：Minimax Formulation.pdf <span style='color:#111;'> 641.41KB </span>","children":null,"spread":false},{"title":"4 Search Algorithms Heuristic Functions Multi Heuristic Astar.pdf <span style='color:#111;'> 1.67MB </span>","children":null,"spread":false},{"title":"12 Case Study：Planning for Coverage Mapping and Surveyal.pdf <span style='color:#111;'> 1.22MB </span>","children":null,"spread":false},{"title":"3 Search Algorithms Astar Weighted Astar Backward Astar.pdf <span style='color:#111;'> 909.53KB </span>","children":null,"spread":false},{"title":"21 Learning in (Search-based) Planning.pdf <span style='color:#111;'> 2.53MB </span>","children":null,"spread":false},{"title":"13 Search Algorithms：Markov Property, Dependent Variables.pdf <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false},{"title":"8 Planning Representations：Probabilistic Roadmaps for Continuous Spaces.pdf <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false},{"title":"14 Planning Representations：Symbolic Representation for Task Planning.pdf <span style='color:#111;'> 559.70KB </span>","children":null,"spread":false},{"title":"15 Search Algorithms：Planning on Symbolic Representations.pdf <span style='color:#111;'> 529.21KB </span>","children":null,"spread":false},{"title":"19 Multi-Robot Planning.pdf <span style='color:#111;'> 1.06MB </span>","children":null,"spread":false},{"title":"7 Case Study_ Planning for Autonomous Driving.pdf <span style='color:#111;'> 1.88MB </span>","children":null,"spread":false},{"title":"5 Interleaving Planning and Execution Anytime and Incremental Astar.pdf <span style='color:#111;'> 1.10MB </span>","children":null,"spread":false},{"title":"18 Planning under Uncertainty：Partially-Observable Markov Decision Processes.pdf <span style='color:#111;'> 1.13MB </span>","children":null,"spread":false},{"title":"6 Interleaving Planning and Execution：Real-time Heuristic Search.pdf <span style='color:#111;'> 975.96KB </span>","children":null,"spread":false},{"title":"17 Planning under Uncertainty：Expected Cost Formulation, Solving MDPs.pdf <span style='color:#111;'> 926.49KB </span>","children":null,"spread":false},{"title":"11 Search Algorithms：Multi-goal Astar IDA star.pdf <span style='color:#111;'> 526.37KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]