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» Learning Behaviors Models for Robot Execution Control
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ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 8 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso
ROBOCUP
2004
Springer
110views Robotics» more  ROBOCUP 2004»
15 years 9 months ago
UCHILSIM: A Dynamically and Visually Realistic Simulator for the RoboCup Four Legged League
UCHILSIM is a robotic simulator specially developed for the RoboCup four-legged league. It reproduces with high accuracy the dynamics of AIBO motions and its interactions with the ...
Juan Cristóbal Zagal, Javier Ruiz-del-Solar
IROS
2008
IEEE
98views Robotics» more  IROS 2008»
15 years 10 months ago
A scalable and distributed approach for self-assembly and self-healing of a differentiated shape
— As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these robots in such a way that the sum of th...
Michael Rubenstein, Wei-Min Shen
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
15 years 10 months ago
Where's Waldo? Sensor-Based Temporal Logic Motion Planning
— Given a robot model and a class of admissible environments, this paper provides a framework for automatically and verifiably composing controllers that satisfy high level task...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....
APIN
2002
80views more  APIN 2002»
15 years 4 months ago
Searching a Scalable Approach to Cerebellar Based Control
Decades of research into the structure and function of the cerebellum have led to a clear understanding of many of its cells, as well as how learning might take place. Furthermore...
Jan Peters, P. Patrick van der Smagt