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 | 9/30 | Robot Intelligence: computation, mechanics, intelligence |
| 2nd | 10/ 7 | Turing machine: state, symbols, transition |
| 3rd | 10/21 | Turing machine: diagonal argument, halt problem |
| 4th | 10/28 | Search: graphs, shortest path |
| 5th | 11/ 4 | Search: Dijkstra method, game tree |
| 6th | 11/11 | (1st quiz) |
| 7th | 11/18 | Probabilistic method: random numbers, Monte Carlo method |
| 8th | 11/25 | Probabilistic method: robot motion planning, probabilistic roadmaps |
| 9th | 11/30 | Neural network: neuron model, approximation theorem |
| 10th | 12/ 9 | Neural network: back propagation |
| 11th | 12/16 | (2nd quiz) |
| 12th | 12/23 | Optimization: linear programming |
| 13th | 1/ 6 | Optimization: linear inequalities, duality, nonlinar optimization |
| 14th | 1/20 | Object manipulation: motion constraints, form closure |
| 15th | 1/21 | Object manipulation: grasping, force closure |
