Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Dynamical Neural Schmitt Trigger for Robot Control
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence
YARS: A Physical 3D Simulator for Evolving Controllers for Real Robots
SIMPAR '08 Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots
Higher Coordination With Less Control-A Result of Information Maximization in the Sensorimotor Loop
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Self-regulating neurons in the sensorimotor loop
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
| Hi-index | 0.00 |
It is claimed that synaptic plasticity of neural controllers for autonomous robots can enhance the behavioral properties of these systems. Based on homeostatic properties of so called self-regulating neurons, the presented mechanism will vary the synaptic strength during the robot interaction with the environment, due to driving sensor inputs and motor outputs. This is exemplarily shown for an obstacle avoidance behavior in simulation.