Chapter: Ch. 7. Combining learning and evolution for adaptive autonomous systems

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Home > Control and learning in robotic systems / > Ch. 7. Combining learning and evolution for adaptive autonomous systems

Control and learning in robotic systems / |

Liu, John X.

Nova Science Publishers,

Control and learning in robotic systems /

Ch. 7. Combining learning and evolution for adaptive autonomous systems

Chapter Info

Authors

Genci Capi, Daisuke Hironaka, Masao Yokota and Kenji Doya

ARI Id

1674945833137_51380830

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Chapters/Headings	Author(s)	Pages	Info
Ch. 1. Real-time data streaming for Internet robots	Peter Xiaoping Liu and Max Meng
Ch. 2. Modeling for reactive control and decision making in uncertain environment	Ayeley P. Tchangani
Ch. 3. Evolutionary acquisition of fuzzy control based performance skill using a three-link rings gymnastic robot	Takaaki Yamada, Keigo Watanabe and Kazuo Kiguchi
Ch. 4. Uncertain variables and their applications in intelligent uncertain systems	Z. Bubnicki
Ch. 5. Perceptive planning and control of robotic system in a hybrid system framework	Yu Sun and Ning Xi
Ch. 6. Pattern-based heuristics for master production scheduling with a continuous manner	Hsiao-Fan Wang and Kuang-Yao Wu
Ch. 7. Combining learning and evolution for adaptive autonomous systems	Genci Capi, Daisuke Hironaka, Masao Yokota and Kenji Doya
Ch. 8. Voronoi-based map learning and understanding in robotic problems	B. L. Boada, D. Blanco, C. Castejon and L. Moreno
Ch. 9. Multi-stage leaning controller for underactuated robot manipulators	Lanka Udawatta and Keigo Watanabe
Ch. 10. Adaptive abilities in hybrid genetic algorithm	YoungSu Yun and Mitsuo Gen
Ch. 11. Reliable feature evaluation in classification and regression	Marko Robnik-Sikonja and Igor Kononenko.
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