论文信息 - Experiments in Subsymbolic Action Planning with Mobile Robots

Experiments in Subsymbolic Action Planning with Mobile Robots

The ability to determine a sequence of actions in order to reach a particular goal is of utmost importance to mobile robots. One major problem with symbolic planning approaches regards assumptions made by the designer while introducing externally specified world models, preconditions and postconditions. To bypass this problem, it would be desirable to develop mechanisms for action planning that are based on the agent’s perceptual and behavioural space, rather than on externally supplied symbolic representations. We present a subsymbolic planning mechanism that uses a non-symbolic representation of sensor-action space, learned through the agent’s autonomous interaction with the environment.

Ulrich Nehmzow | John Pisokas | U. Nehmzow | John Pisokas

[1] Ronald C. Arkin,et al. An Behavior-based Robotics , 1998 .

[2] François Fleuret,et al. DEA: An Architecture for Goal Planning and Classification , 2000, Neural Computation.

[3] Gianluca Baldassarre,et al. Planning with neural networks and reinforcement learning , 2001 .

[4] András Lörincz,et al. Self-Organizing Multi-Resolution Grid for Motion Planning and Control , 1996, Int. J. Neural Syst..

[5] Stevan Harnad. The Symbol Grounding Problem , 1999, ArXiv.

[6] Nils J. Nilsson,et al. Shakey the Robot , 1984 .

[7] Gianluca Baldassarre,et al. A PLANNING MODULAR NEURAL-NETWORK ROBOT FOR ASYNCHRONOUS MULTIGOAL NAVIGATION TASKS , 2001 .

[8] Luc Steels. Steps towards Common Sense , 1988, ECAI.

[9] E. Gat. Integrating Planning and Reacting Architecture for Controlling , 1999 .

[10] A. Turing. The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.

[11] Klaus Schulten,et al. Topology Representing Network for Sensor-Based Robot Motion Planning , 2000 .

[12] Teuvo Kohonen,et al. Self-organization and associative memory: 3rd edition , 1989 .

[13] E. Kandel,et al. Essentials of Neural Science and Behavior , 1996 .

[14] R. Sun. Symbol Grounding: A New Look At An Old Idea , 1999 .

[15] Richard Fikes,et al. STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving , 1971, IJCAI.