We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
The last few years have seen great maturationin the computation speed and control methods needed to portray 3D virtualhumanssuitableforreal interactiveapplications. We first desc...
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
This paper proposes a novel compression scheme with a tunable complexity-ratedistortion trade-off. As images increase in size and resolution, more efficient compression schemes w...
Xavier Delaunay, Marie Chabert, Vincent Charvillat...
Fully autonomous aerial robots are needed to accomplish near-Earth missions such as search and rescue, and bio-chemical sensing. Recent advances in sensor technologies ([6], [8], ...