Autonomous robots with limited computational capacity call for control approaches that generate meaning- ful, goal-directed behavior without using a large amount of resources. The attractor dynamics approach to movement generation is a framework that links sensor data to motor commands via coupled dynamical systems that have attractors at behaviorally desired states. The low computational demands … Read More “Robio2011: Model-free local navigation for humanoid robots” »
iLab: From Brain to Machine and Back
iossifidis Lab