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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 10 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 11 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»
16 years 16 days 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»
16 years 13 days 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 6 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