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CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
13 years 9 months ago
Clustering in a network of mutually attracting agents
We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is ...
Filip De Smet, Dirk Aeyels
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
14 years 2 months ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...
TOG
2012
188views Communications» more  TOG 2012»
11 years 11 months ago
Deformable objects alive!
We present a method for controlling the motions of active deformable characters. As an underlying principle, we require that all motions be driven by internal deformations. We ach...
Stelian Coros, Sebastian Martin, Bernhard Thomasze...
DAGSTUHL
2003
13 years 10 months ago
Genetic Design: Amplifying Our Ability to Deal With Requirements Complexity
Individual functional requirements represent fragments of behavior, while a design that satisfies a set of functional requirements represents integrated behavior. This perspective ...
R. Geoff Dromey
ICRA
2006
IEEE
103views Robotics» more  ICRA 2006»
14 years 3 months ago
Soft Object Manipulation by Simultaneous Control of Motion and Deformation
— One of features of soft object manipulation is motion during deformation of the soft body. We analyze the stability of soft object manipulation by simultaneous control of motio...
Mizuho Shibata, Shinichi Hirai