The generation of behavior for autonomous robots in complex environments is restricted by a potentially large number of constraints that must be observed. For many tasks, the relevant constraints can be expressed in a specific, low-dimensional reference frame. The dynamic systems approach to autonomous robotics represents constraints as attractors or repellors over such behaviorally … Read More “Humanoids 2010: Integrating Orientation Constraints Into the Attractor Dynamics Approach for Autonomous Manipulation” »
iLab: From Brain to Machine and Back
iossifidis Lab