Okura et al., 2011 - Google Patents
Evolution of cooperative ensemble neural network controller for autonomous mobile robotsOkura et al., 2011
View PDF- Document ID
- 5714493714169567737
- Author
- Okura M
- Shahjahan M
- Murase K
- Publication year
- Publication venue
- International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association
External Links
Snippet
Artificialeyolution hasbeen widely studied inorder to developthe control systems of autonomeus mobile robots[1, 2, 3, 4, 5]. Controlarchitecture, niorphology, etc. of a populationof robots are encoded Qn anificial chromosomes. The se] ected chromosomes …
- 230000001537 neural 0 title description 12
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/04—Architectures, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Billard et al. | Grounding communication in autonomous robots: an experimental study | |
Arena et al. | Learning anticipation via spiking networks: application to navigation control | |
Ibrahim et al. | Mobile robot obstacle avoidance in various type of static environments using fuzzy logic approach | |
US6172941B1 (en) | Method to generate self-organizing processes in autonomous mechanisms and organisms | |
CN111190364A (en) | Bionic dolphin intelligent control method based on sensory feedback CPG model | |
Park et al. | Development of a multi-agent system for robot soccer game | |
Yi et al. | Intelligent robot obstacle avoidance system based on fuzzy control | |
Okura et al. | Evolution of cooperative ensemble neural network controller for autonomous mobile robots | |
de Oliveira et al. | A robot architecture for outdoor competitions | |
Fountas et al. | A neuronal global workspace for human-like control of a computer game character | |
Yuan et al. | Cognitive decisions based on a rule-based fuzzy system | |
Berlanga et al. | Neural networks robot controller trained with evolution strategies | |
Schoepe et al. | Finding the gap: neuromorphic motion vision in cluttered environments | |
Arena et al. | Turing patterns in RD-CNNs for the emergence of perceptual states in roving robots | |
Wischmann et al. | The emergence of communication by evolving dynamical systems | |
Tews et al. | Thinking as one: Coordination of multiple mobile robots by shared representations | |
Tang et al. | Safe and Generalized end-to-end Autonomous Driving System with Reinforcement Learning and Demonstrations | |
Waegeman et al. | Modular reservoir computing networks for imitation learning of multiple robot behaviors | |
Silva et al. | MONODA: a neural modular architecture for obstacle avoidance without knowledge of the environment | |
Huntsberger | Fault-tolerant action selection for planetary rover control | |
Bieramperl | US6172941: Method to generate self-organizing processes in autonomous mechanisms and organisms | |
McCallum | Learning with incomplete selective perception | |
Gelenbe et al. | Simulating the navigation and control of autonomous agents | |
Chame et al. | Towards a biologically-inspired model for underwater localization based on sensory-motor coupling | |
Aguirre et al. | Imitation for motor learning on humanoid robots |