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» Learning to Drive and Simulate Autonomous Mobile Robots
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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 1 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
ARTCOM
2009
IEEE
14 years 2 months ago
ANFIS Approach for Navigation of Mobile Robots
— This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy inference system (ANFIS) in a real word dynamic environment. In the ANFIS controller a...
Mukesh Kumar Singh, Dayal R. Parhi, Jayanta Kumar ...
AAAI
2000
13 years 9 months ago
Appearance-Based Obstacle Detection with Monocular Color Vision
This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground base...
Iwan Ulrich, Illah R. Nourbakhsh
ATAL
2011
Springer
12 years 7 months ago
Online anomaly detection in unmanned vehicles
Autonomy requires robustness. The use of unmanned (autonomous) vehicles is appealing for tasks which are dangerous or dull. However, increased reliance on autonomous robots increa...
Eliahu Khalastchi, Gal A. Kaminka, Meir Kalech, Ra...
RAS
2002
131views more  RAS 2002»
13 years 7 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada