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» Learning to Drive and Simulate Autonomous Mobile Robots
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RAS
2008
80views more  RAS 2008»
13 years 7 months ago
Motion design and learning of autonomous robots based on primitives and heuristic cost-to-go
The task of trajectory design of autonomous vehicles is typically two-fold. First, it needs to take into account the intrinsic dynamics of the vehicle, which are sometimes termed ...
Keyong Li, Raffaello D'Andrea
EUSFLAT
2003
116views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Fuzzy logic and the Pittsburgh classifier system for mobile robot control
We report on experiments designed to highlight the strengths and weaknesses of an autonomous rule acquisition algorithm for the fuzzy controller of a simulated mobile robot. The a...
Anthony G. Pipe, Brian Carse
ICRA
1998
IEEE
137views Robotics» more  ICRA 1998»
13 years 12 months ago
GRAMMPS: A Generalized Mission Planner for Multiple Mobile Robots in Unstructured Environments
For a system of cooperative mobile robots to be effective in real-world applications, it must be able to efficiently execute a wide class of complex tasks in potentially unknown a...
Barry Brumitt, Anthony Stentz
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 7 months ago
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter,...
IVA
2005
Springer
14 years 1 months ago
Autonomous Virtual Agents Learning a Cognitive Model and Evolving
In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. O...
Toni Conde, Daniel Thalmann