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» Automated Design of Adaptive Controllers for Modular Robots ...
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IAT
2010
IEEE
13 years 6 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng
CEC
2007
IEEE
14 years 2 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
TSMC
2008
229views more  TSMC 2008»
13 years 8 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
SAC
2011
ACM
12 years 11 months ago
I4Copter: an adaptable and modular quadrotor platform
Quadrotor helicopters are micro air vehicles with vertical take-off and landing capabilities controlled by varying the rotation speed of four fixed pitch propellers. Due to their...
Peter Ulbrich, Rüdiger Kapitza, Christian Har...
AE
2007
Springer
14 years 2 months ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera