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TSMC
2002
105views more  TSMC 2002»
13 years 7 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
IJCSA
2007
213views more  IJCSA 2007»
13 years 7 months ago
Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks
This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
Yang Shi, Weiqi Qian, Weisheng Yan, Jun Li
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
13 years 11 months ago
Leader-following formation control of multiple vision-based autonomous robotic fish
— A framework for the deployment of multiple autonomous robotic fish to achieve leader-following formations with Bezier trajectory is presented. Each follower robot estimates th...
Wei Zhao, Yonghui Hu, Long Wang
CEC
2005
IEEE
13 years 9 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson
AAAI
2008
13 years 10 months ago
Adaptive Control for Autonomous Underwater Vehicles
We describe a novel integration of Planning with Probabilistic State Estimation and Execution resulting in a unified representational and computational framework based on declarat...
Conor McGann, Frederic Py, Kanna Rajan, John Ryan,...