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Miguel Rocha, P. Cortez, José Neves (2000)
The relationship between learning and evolution in static and dynamic environments
H. Hagras, V. Callaghan, M. Colley, M. Carr-West (1999)
A fuzzy-genetic based embedded-agent approach to learning and control in agricultural autonomous vehiclesProceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 2
B. Åstrand, A. Baerveldt (2000)
Proceedings of the Symposium on Image Analysis
N. Kasabov, R. Kozma (1998)
Introduction: Hybrid intelligent adaptive systemsInternational Journal of Intelligent Systems, 13
(1996)
Object recognition in agricultural environment
H. Hagras, V. Callaghan, M. Colley, M. Carr-West (1999)
Developing an Outdoor Fuzzy Logic Controlled Agricultural Vehicle for Crop Following and Harvesting
H. Hagras, V. Callaghan, M. Colley (1999)
Online learning of fuzzy behaviours using genetic algorithms and real-time interaction with the environmentFUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 2
(2000)
A vision based row-following system for agricultural robots
(1999)
The Demeter system for autonomous harvesting
H. Hagras, V. Callaghan, M. Colley, M. Carr-West (1998)
A Behaviour Based Hierarchical Fuzzy Control Architecture For Agricultural Real Time Autonomous Mobile Robots
(1990)
Examination of induction method of unmanned vehicle for greenhouse
H. Hagras, V. Callaghan, M. Colley (2001)
Prototyping design and learning in outdoor mobile robots operating in unstructured outdoor environmentsIEEE International Robotics and Automation Magazine, 8
Y. Edan, Dima Rogozin, T. Flash, G. Miles (2000)
Robotic melon harvestingIEEE Trans. Robotics Autom., 16
Andrea Bonarini (1999)
Comparing Reinforcement Learning Algorithms Applied to Crisp and Fuzzy Learning Classifier Systems
M. Dorigo, M. Colombetti (1994)
Robot Shaping: Developing Autonomous Agents Through LearningArtif. Intell., 71
Vicente Olivera, Camino Fernández, J. López (1998)
Genetic learning of fuzzy reactive controllersRobotics Auton. Syst., 25
F. Hoffmann (1998)
Incremental Tuning of Fuzzy Controllers by Means of an Evolution Strategy
M. Monta, N. Kondo, K. Ting (1998)
End-Effectors for Tomato Harvesting RobotArtificial Intelligence Review, 12
B. Kosko (1992)
Fuzzy systems as universal approximators[1992 Proceedings] IEEE International Conference on Fuzzy Systems
(1994)
Development of an intelligent steering control algorithm For vision-based agricultural vehicle guidance
R. Brooks (1992)
Artificial Life and Real Robots
A. Mandow, J. Gabriel, Jorge Martínez, V. Muñoz, A. Ollero, A. García-Cerezo (1996)
The autonomous mobile robot AURORA for greenhouse operationIEEE Robotics Autom. Mag., 3
H. Hagras, V. Callaghan, M. Colley (2001)
for Prototyping Outdoor Mobile Robots Operating in Unstructured Environments Online Learning Techniques for Prototyping Outdoor Mobile Robots Operating in Unstructured
E. Tunstel, Tanya Lippincott, M. Jamshidi (1997)
Behavior Hierarchy for Autonomous Mobile Robots: Fuzzy-Behavior Modulation and EvolutionIntell. Autom. Soft Comput., 3
(2000)
Continuous operation and perpetual learning in mobile robots
M. Delgado, F. Zuben, F. Gomide (2002)
Coevolutionary design of Takagi-Sugeno fuzzy systemsProceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2
W. Pedrycz, F. Gomide (1998)
An introduction to fuzzy sets : analysis and design
H. Hagras, V. Callaghan, M. Colley (2000)
Online learning of the sensors fuzzy membership functions in autonomous mobile robotsProceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 4
A. Saffiotti (1997)
Fuzzy logic in autonomous robotics: behavior coordinationProceedings of 6th International Fuzzy Systems Conference, 1
O. Miglino, H. Lund, S. Nolfi (1995)
Evolving Mobile Robots in Simulated and Real EnvironmentsArtificial Life, 2
M. Sousa, M. Madrid (2000)
Optimization of Takagi-Sugeno fuzzy controllers using a genetic algorithmNinth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 1
S. Cho, N. Ki (1996)
Unmanned Combine Operation Using Fuzzy Logic Control — Graphic SimulationApplied Engineering in Agriculture, 12
M. Delgado, F. Zuben, F. Gomide (2000)
Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approachNinth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 1
In this paper we will introduce the application of our newly patented double hierarchical Fuzzy-Genetic system (British patent 99-10539.7) to produce an intelligent autonomous outdoor agricultural mobile robot capable of learning and calibrating its controller online in a short time interval and implementing a life long learning strategy. The online and life long learning strategy allow the outdoor robots to increase their experience and adapt their controllers in the face of the changing and dynamic unstructured outdoor agricultural environments. Such characteristics permit prolonged periods of operation within dynamic agricultural environments, which is an essential feature for the realization of a platform vehicle for use in sustainable agriculture and organic farming.
Autonomous Robots – Springer Journals
Published: Oct 10, 2004
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