Add to ORKGSensory control based on biological computational paradigms can be implemented using low-power analog very large-scale integrated circuitry. We describe a design frame and a set of circuit elements with which generic motor controllers can be implemented. We then embed a simple proportional-derivative motor controller in the design frame, and describe its performance advantages over a more traditional controller. We also discuss the merits of biologically inspired systems used in applications related to robotics
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
In this paper we present a complete spike-based architecture: from a Dynamic Vision Sensor (retina) ...
International audienceResearch in robot locomotion can be separated into few groups. The dominated r...
Sensory control based on biological computational paradigms can be implemented using low-power ana...
This paper describes a simple servo controller build from components having neuronlike features. Ex...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
Despite being well established in robotics, classical motor controllers have several disadvantages:...
An ever increasing amount of robotic platforms are being equipped with a new generation of neuromorp...
Neural oscillators are the basic blocks for the implementation of bio-inspired locomotion control sy...
Abstract — This paper focuses on the study of a bio-inspired neural controller used to govern a mobi...
Artificial neural networks and genetic algorithms are often quoted in discussions about the contribu...
Artificial neural networks and genetic algorithms are often quoted in discussions about the contribu...
This thesis presents a design framework and circuit implementations for integrating sensory and moto...
Abstract. Simple linear readouts from generic neural microcircuit mod-els can be trained to generate...
This paper presents an approach to open-loop motor control using Integrate and Fire (IF) neurons. T...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
In this paper we present a complete spike-based architecture: from a Dynamic Vision Sensor (retina) ...
International audienceResearch in robot locomotion can be separated into few groups. The dominated r...
Sensory control based on biological computational paradigms can be implemented using low-power ana...
This paper describes a simple servo controller build from components having neuronlike features. Ex...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
Despite being well established in robotics, classical motor controllers have several disadvantages:...
An ever increasing amount of robotic platforms are being equipped with a new generation of neuromorp...
Neural oscillators are the basic blocks for the implementation of bio-inspired locomotion control sy...
Abstract — This paper focuses on the study of a bio-inspired neural controller used to govern a mobi...
Artificial neural networks and genetic algorithms are often quoted in discussions about the contribu...
Artificial neural networks and genetic algorithms are often quoted in discussions about the contribu...
This thesis presents a design framework and circuit implementations for integrating sensory and moto...
Abstract. Simple linear readouts from generic neural microcircuit mod-els can be trained to generate...
This paper presents an approach to open-loop motor control using Integrate and Fire (IF) neurons. T...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
In this paper we present a complete spike-based architecture: from a Dynamic Vision Sensor (retina) ...
International audienceResearch in robot locomotion can be separated into few groups. The dominated r...