I will lecture principles of computational and mechanical intelligence, covering Turing machine, search, probabilistic methods, neural network, optimization, and object manipulation. (Dept. Robotics, B2)
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1st | 9/29 | Robot Intelligence: computation, mechanics, intelligence |
| 2nd | 10/ 6 | Turing Machine: state, symbols, transition |
| 3rd | 10/13 | Turing Machine: diagonal argument, halt problem |
| 4th | 10/20 | Cryptography: substitution cipher, public-key cryptography |
| 5th | 10/27 | Graph and Search: graphs, shortest path, Dijkstra method |
| 6th | 11/ 3 | Graph and Search: maximum flow problem, LP method, game tree, minimax method, two-person zero-sum game |
| 7th | 11/10 | Probabilistic Method: random numbers, Monte Carlo method |
| 8th | 11/17 | Probabilistic Method: robot motion planning, probabilistic roadmaps |
| 9th | 11/24 | Neural Network: neuron model, approximation theorem |
| 10th | 12/ 1 | Neural Network: back propagation |
| 11th | 12/ 8 | Optimization: linear programming, linear inequalities, duality |
| 12th | 12/15 | Optimization: nonlinear optimization, unconstrained/constrained optimization |
| 13th | 12/22 | Object Manipulation: motion constraints, form closure |
| 14th | 1/13 | Object Manipulation: grasping, force closure, compliance, RCC |
