Neural Networks - Special issue: models of neurodynamics and behavior
Planification versus sensory-motor conditioning: what are the issues?
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Learning View Graphs for Robot Navigation
Autonomous Robots - Special issue on autonomous agents
Cognitive Maps in Rats and Robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Learning reactive and planning rules in a motivationally autonomousanimat
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Map-based navigation in mobile robots
Cognitive Systems Research
Map-based navigation in mobile robots
Cognitive Systems Research
Interest of Spatial Context for a Place Cell Based Navigation Model
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Distributed real time neural networks in interactive complex systems
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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We present a navigation and planning system using vision for extracting non predefined landmarks, a dead-reckoning system generating the integrated movement and a topological map Localisation and planning remain possible even if the map is partially unknown An omnidirectional camera gives a panoramic images from which unpredefined landmarks are extracted The set of landmarks and their azimuths relative to a fixed orientation defines a particular location without any need of an external environment map Transitions between two locations recognized at time t and t-1 are explicitly coded, and define spatio-temporal transitions These transitions are the sensory-motor unit chosen to support planning During exploration, a topological map (our cognitive map) is learned on-line from these transitions without any cartesian coordinates nor occupancy grids The edges of this map may be modified in order to take into account dynamical changes of the environment The transitions are linked with the integrated movement used for moving from one place to the others When planning is required, the activities of transitions coding for the required goal in the cognitive map are enough to bias predicted transitions and to obtain the required movement.