Abstract—This paper presents a systematic approach to generate walking primitive databases for anthropomorphic 3D–bipeds allowing step length adaptation, direction changes and ...
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Human based vision algorithms for interception of fly balls in one-dimension have been researched and studied. We are developing new perceptual strategies for three-dimensional s...
Anthony Suluh, Keshav Mundhra, Thomas Sugar, Micha...
We have developed a robot controller based upon a neural implementation of Norman and Shallice's model of executive attentional control in humans. A simulation illustrates ho...
This paper addresses the localization and mapping problem for a robot moving through a (possibly) unknown environment where indistinguishable landmarks can be detected. A set theo...
Mauro Di Marco, Andrea Garulli, Antonio Giannitrap...