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Neuro-Inspired Spike-Based Motion: From Dynamic Vision Sensor to Robot Motor Open-Loop Control through Spike-VITE
Computer Architecture and Technology Area, Universidad de Cádiz, School of Engineering, Calle Chile, 1, Cadiz 11002, Spain
Robotic and Technology of Computers Lab (RTC), Universidad de Sevilla, ETSI Informática, Avd. Reina Mercedes s/n, Sevilla 41012, Spain
Automation and System Engineering Department, Polytechnic University of Cartagena, Campus Muralla del Mar, Cartagena, 30202, Spain
* Author to whom correspondence should be addressed.
Received: 5 October 2013; in revised form: 11 November 2013 / Accepted: 13 November 2013 / Published: 20 November 2013
Abstract: In this paper we present a complete spike-based architecture: from a Dynamic Vision Sensor (retina) to a stereo head robotic platform. The aim of this research is to reproduce intended movements performed by humans taking into account as many features as possible from the biological point of view. This paper fills the gap between current spike silicon sensors and robotic actuators by applying a spike processing strategy to the data flows in real time. The architecture is divided into layers: the retina, visual information processing, the trajectory generator layer which uses a neuroinspired algorithm (SVITE) that can be replicated into as many times as DoF the robot has; and finally the actuation layer to supply the spikes to the robot (using PFM). All the layers do their tasks in a spike-processing mode, and they communicate each other through the neuro-inspired AER protocol. The open-loop controller is implemented on FPGA using AER interfaces developed by RTC Lab. Experimental results reveal the viability of this spike-based controller. Two main advantages are: low hardware resources (2% of a Xilinx Spartan 6) and power requirements (3.4 W) to control a robot with a high number of DoF (up to 100 for a Xilinx Spartan 6). It also evidences the suitable use of AER as a communication protocol between processing and actuation.
Keywords: spike systems; motor control; VITE; address event representation; neuro-inspired; neuromorphic engineering; anthropomorphic robots
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MDPI and ACS Style
Perez-Peña, F.; Morgado-Estevez, A.; Linares-Barranco, A.; Jimenez-Fernandez, A.; Gomez-Rodriguez, F.; Jimenez-Moreno, G.; Lopez-Coronado, J. Neuro-Inspired Spike-Based Motion: From Dynamic Vision Sensor to Robot Motor Open-Loop Control through Spike-VITE. Sensors 2013, 13, 15805-15832.
Perez-Peña F, Morgado-Estevez A, Linares-Barranco A, Jimenez-Fernandez A, Gomez-Rodriguez F, Jimenez-Moreno G, Lopez-Coronado J. Neuro-Inspired Spike-Based Motion: From Dynamic Vision Sensor to Robot Motor Open-Loop Control through Spike-VITE. Sensors. 2013; 13(11):15805-15832.
Perez-Peña, Fernando; Morgado-Estevez, Arturo; Linares-Barranco, Alejandro; Jimenez-Fernandez, Angel; Gomez-Rodriguez, Francisco; Jimenez-Moreno, Gabriel; Lopez-Coronado, Juan. 2013. "Neuro-Inspired Spike-Based Motion: From Dynamic Vision Sensor to Robot Motor Open-Loop Control through Spike-VITE." Sensors 13, no. 11: 15805-15832.