The problem of controlling locomotion is an area in which neuroscience and robotics can
fruitfully interact. In this article, I will review research carried out on locomotor central pattern …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

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 …

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 …

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 …