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Fig. 1. A planning problem from the blocks world; build an arch. blocks world which can be associated with a robot environment is often used as an experimental prob- lem domain for planning. Figure 1 shows a simple example where the robot is asked to re-arrange the blocks to build an arch. A plan that a typical automa- tic planner will generate will be something like this:

Figure 1 A planning problem from the blocks world; build an arch. blocks world which can be associated with a robot environment is often used as an experimental prob- lem domain for planning. Figure 1 shows a simple example where the robot is asked to re-arrange the blocks to build an arch. A plan that a typical automa- tic planner will generate will be something like this:

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Fig. 2. A solution for a safe-path problem (Brooks, R. Lozano- Perez, T., also reproduced in Winston, P.: Artificial Intelligence, 2nd edition, Addison-Wesley, 1984).
Fig. 2. A solution for a safe-path problem (Brooks, R. Lozano- Perez, T., also reproduced in Winston, P.: Artificial Intelligence, 2nd edition, Addison-Wesley, 1984).
Fig. 3. An automatically generated decision rule for recognizing chocolates by camera (Shepherd). This is a solution to a simplified problem. The tree that can be used in an industrial application is considerably more complex.
Fig. 3. An automatically generated decision rule for recognizing chocolates by camera (Shepherd). This is a solution to a simplified problem. The tree that can be used in an industrial application is considerably more complex.
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