Autonomous System Development
Software and robotic systems that perceive their surroundings and act with limited human intervention.
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A New Machine Learning Paradigm for Terrain Reconstruction
CWT Yeu, MH Lim, GB Huang, A Agarwal, YS Ong. Cited by 83
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Behavior selection architecture for tangible agent
KJ Kim, SB Cho, S Oh. Cited by 2
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Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I
K Deb, R Poli, W Banzhaf, HG Beyer, E Burke, P Darwen, D Dasgupta, D Floreano, J Foster, M Harman, OE Holland, P Lanzi, LC Spector, AGB Tettamanzi, D Thierens, A Tyrrell. Cited by 5
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Measuring evolvability in evolutionary fuzzy robotics
S Lee, SB Cho
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Fuzzy-genetic algorithms and mobile robot navigation among static obstacles
DK Pratihar, K Deb, A Ghosh. Cited by 23
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A neural network based testbed for modelling sensorimotor integration in robotic applications
AH Fagg, I King, MA Lewis, J Liaw, A Weitzenfeld. Cited by 6
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Evolving multiple sensory-motor controllers based on cellular neural network
SB Cho. Cited by 3
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Observational emergence of a fuzzy controller evolved by genetic algorithm
S Lee, SB Cho. Cited by 7
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Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach
DK Pratihar, K Deb, A Ghosh. Cited by 62
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Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation
A Mohan, K Deb. Cited by 2
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Optimal turning gait of a six-legged robot using a GA-fuzzy approach
DK Pratihar, K Deb, A Ghosh. Cited by 20
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Fuzzy-genetic Algorithms and Time-optimal Obstacle-free Path Generation for Mobile Robots
DK Pratihar, K Deb, A Ghosh. Cited by 36