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» Using CMAC for Mobile Robot Motion Control
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ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
15 years 1 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
CEC
2007
IEEE
15 years 4 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
IROS
2008
IEEE
115views Robotics» more  IROS 2008»
15 years 4 months ago
A framework for optimal gait generation via learning optimal control using virtual constraint
— This paper proposes an optimal gait generation framework using virtual constraint and learning optimal control. In this method, firstly, we add a constraint by a virtual poten...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon
ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
15 years 4 months ago
Decentralized mapping of robot-aided sensor networks
— A key problem in deploying sensor networks in real-world applications is that of mapping, i.e. determining the location of each sensor such that subsequent tasks such as tracki...
Joseph Djugash, Sanjiv Singh, Ben Grocholsky
IJRR
2000
107views more  IJRR 2000»
14 years 9 months ago
Dynamics Simulation and Controller Interfacing for Legged Robots
Dynamics simulation can play a critical role in the engineering of robotic control code, and there exist a variety of strategies both for building physical models and for interact...
Jesse A. Reichler, Fred Delcomyn