Evolutionary Robotics is a method for automatically generating artificial brains and morphologies of autonomous robots. This approach is useful both for investigating the …
D Gong, J Yan, G Zuo - Applied computational intelligence and …, 2010 - Wiley Online Library
Gait generation is very important as it directly affects the quality of locomotion of legged robots. As this is an optimization problem with constraints, it readily lends itself to …
This book gives a practical, in-depth introduction to embedded systems and autonomous robots, using the popular Raspberry Pi and Arduino microcontrollers. We demonstrate how …
Evolutionary Robotics is a method for the automatic creation of autonomous robots [86]. It is inspired by the Darwinian principle of selective reproduction of the fittest captured by …
Providing a guided tour of the pioneering work and major technical issues, Multiagent Robotic Systems addresses learning and adaptation in decentralized autonomous robots. Its …
This article addresses the problem of how modular robotics systems, ie systems composed of multiple modules that can be configured into different robotic structures, can learn to …
Y Nakamura, T Mori, M Sato, S Ishii - Neural networks, 2007 - Elsevier
Animals' rhythmic movements, such as locomotion, are considered to be controlled by neural circuits called central pattern generators (CPGs), which generate oscillatory signals …
This article describes the design of neural control architectures for locomotion using an evolutionary approach. Inspired by the central pattern generators found in animals, we …
H Yu, H Gao, L Ding, M Li, Z Deng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a locomotion control method based on central pattern generator (CPG) for hexapod walking robot to achieve gait generation with smooth transition. By deriving an …