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In a paper, Edgerton called the neural structure in the lumbar spinal cord a "central pattern generator".
In this case, a biologist, robotics engineer and analog-chip designer collaborated on a walking robot that used the principle of a "central pattern generator" (CPG a kind of flexible pacemaker that humans and other animals use for locomotion.
We implement a central pattern generator that controls the sequence of activation.
A simple neural oscillator network serves as a central pattern generator producing the basic rhythmic leg movements.
"Our implementation of a mathematical model of a central pattern generator (CPG) is a simplified version of what was identified in vertebrate and invertebrate animals.
A central pattern generator produces a master signal, which is interpreted by analog arrays and sent to the oscillators that move the legs.
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We are developing such a general quadrupedal locomotion controller by using a neural model involving a CPG (Central Pattern Generator) utilizing ground reaction force sensory feedback.
In this paper, we introduce a multidimensional Central Pattern Generator (CPG) model with an explicit and defined basin of attraction for generating any arbitrary continuous periodic signal.
In this paper, we propose a method to control gait generation and walking speed control for an autonomous decentralized multi-legged robot by using a wave Central Pattern Generator (CPG) model.
Handwriting has been simulated using active inference (Friston et al. 2011), using a simple central pattern generator to produce prior beliefs that an agent's finger will be drawn to an invisible moving target.
This paper presents a novel Central Pattern Generator (CPG) model for controlling quadruped walking robots.
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