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» Learning about Complexity with Modular Robots
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ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
14 years 2 months ago
Model-based and model-free reinforcement learning for visual servoing
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
Amir Massoud Farahmand, Azad Shademan, Martin J&au...
ICNC
2009
Springer
14 years 2 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
14 years 1 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
AAAI
2000
13 years 9 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
GECCO
2009
Springer
14 years 2 months ago
On the performance effects of unbiased module encapsulation
A recent theoretical investigation of modular representations shows that certain modularizations can introduce a distance bias into a landscape. This was a static analysis, and em...
R. Paul Wiegand, Gautham Anil, Ivan I. Garibay, Oz...