Add to ORKGIn this work, a generalised central pattern generator (CPG) model is formulated to generate a full range of gait patterns for a hexapod insect. To this end, a recurrent neuronal network module, as the building block for rhythmic patterns, is proposed to extend the concept of oscillatory building blocks (OBB) for constructing a CPG model. The model is able to make transitions between different gait patterns by simply adjusting one model parameter. Simulation results are further presented to show the effectiveness and performance of the CPG network
Legged robots can potentially venture beyond the limits of wheeled vehicles. While creating controll...
This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an il...
As an engine of almost all life phenomena, the motor information generated by the central nervous sy...
In this work, a generalized central pattern generator (CPG) model is formulated to generate a full r...
As an engine of almost all life phenomena, the motor information generated by the central nervous sy...
Animals like stick insects can adaptively walk on the complex terrain with different gait patterns. ...
Neural oscillation is one of the most extensively investigated topics of artificial neural networks....
As the engine behind many life phenomena, motor information generated by the central nervous system ...
Central pattern generators (CPGs) are relatively small neural networks that play a fundamental role ...
The revealed secrets of nature always led humans to their aspiring achievements. The fastest animal ...
Abstract. The general, model-independent features of different networks of six symmetrically coupled...
This paper presents a novel approach to the emulation of locomotor central pattern generators (CPGs)...
Animals such as stick insects can adaptively walk on complex terrains by dynamically adjusting their...
Animals such as stick insects can adaptively walk on complex terrains by dynamically adjusting their...
Controlling the six legs of an insect walking in an unpredictable environment is a challenging task,...
Legged robots can potentially venture beyond the limits of wheeled vehicles. While creating controll...
This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an il...
As an engine of almost all life phenomena, the motor information generated by the central nervous sy...
In this work, a generalized central pattern generator (CPG) model is formulated to generate a full r...
As an engine of almost all life phenomena, the motor information generated by the central nervous sy...
Animals like stick insects can adaptively walk on the complex terrain with different gait patterns. ...
Neural oscillation is one of the most extensively investigated topics of artificial neural networks....
As the engine behind many life phenomena, motor information generated by the central nervous system ...
Central pattern generators (CPGs) are relatively small neural networks that play a fundamental role ...
The revealed secrets of nature always led humans to their aspiring achievements. The fastest animal ...
Abstract. The general, model-independent features of different networks of six symmetrically coupled...
This paper presents a novel approach to the emulation of locomotor central pattern generators (CPGs)...
Animals such as stick insects can adaptively walk on complex terrains by dynamically adjusting their...
Animals such as stick insects can adaptively walk on complex terrains by dynamically adjusting their...
Controlling the six legs of an insect walking in an unpredictable environment is a challenging task,...
Legged robots can potentially venture beyond the limits of wheeled vehicles. While creating controll...
This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an il...
As an engine of almost all life phenomena, the motor information generated by the central nervous sy...