Autonomous robots with limited computational capacity call for control approaches that generate meaningful, 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 leave … Read More “RoBio 2011: Model-free local navigation for humanoid robots” »
Day: December 20, 2011
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” »
In the presented work we compare machine learn- ing techniques in the context of lane change behavior performed by humans in a semi-naturalistic simulated environment. We evaluate different learning approaches using differing feature combinations in or…