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» Learning to Drive and Simulate Autonomous Mobile Robots
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ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
14 years 1 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
ICRA
2005
IEEE
110views Robotics» more  ICRA 2005»
14 years 1 months ago
Simultaneous Calibration of Action and Sensor Models on a Mobile Robot
Abstract— This paper presents a technique for the Simultaneous Calibration of Action and Sensor Models (SCASM) on a mobile robot. While previous approaches to calibration make us...
Daniel Stronger, Peter Stone
AAAI
1990
13 years 8 months ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom
TROB
2008
124views more  TROB 2008»
13 years 7 months ago
A Dynamic-Model-Based Wheel Slip Detector for Mobile Robots on Outdoor Terrain
Abstract--This paper introduces a model-based approach to estimating longitudinal wheel slip and detecting immobilized conditions of autonomous mobile robots operating on outdoor t...
Chris C. Ward, Karl Iagnemma
AAMAS
2005
Springer
14 years 1 months ago
Experiments in Subsymbolic Action Planning with Mobile Robots
The ability to determine a sequence of actions in order to reach a particular goal is of utmost importance to mobile robots. One major problem with symbolic planning approaches re...
John Pisokas, Ulrich Nehmzow