In the past decade, advanced technologies in robotics have been explored to enhance the
rehabilitation of post-stroke patients. Previous works have shown that gait assistance for …

Rhythmic neural signals serve as basis of many brain processes, in particular of locomotion
control and generation of rhythmic movements. It has been found that specific neural circuits …

Biomimetic robotic fish that absorbs inspiration from fish has the advantage of high mobility,
high efficiency, and low noise. However, it is still challenging to make robotic fish adapt to …

Synchronization of coupled non-linear oscillators inspired by a central pattern generator
(CPG) can control the bionic robot and promote the coordination and diversity of locomotion …

Existing state-of-the-art frequency adaptation mechanisms of central pattern generators
(CPGs) for robot locomotion control typically rely on correlation-based learning. They do not …

The achievement of adaptive, stable, and robust locomotion and dealing with asymmetrical
conditions for bipedal robots remain a challenging problem. To address the problem, this …

This paper proposes a novel stride management strategy for rehabilitation exoskeletons.
This method incorporates a Central Pattern Generator (CPG) into an Assist-As-Needed …

Legged locomotion is a desirable ability for robotic systems thanks to its agile mobility and
wide range of motions that it provides. In this paper, the use of neural network-based …

To control highly-dynamic compliant motions such as running or hop**, vertebrates rely
on reflexes and Central Pattern Generators (CPGs) as core strategies. However, decoding …

For the central pattern generation inspired biped walking control algorithm, it is hard to
coordinate all the degrees of freedom of a robot by regulating the parameters of a neutral …