首页|Findings from University of Santiago of Chile (USACH) Provide New Insights into Robotics (A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks)
Findings from University of Santiago of Chile (USACH) Provide New Insights into Robotics (A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks)
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By a News Reporter-Staff News Editor at Network Daily News - New studyresults on robotics have been published. According to news originating from Santiago, Chile, by NewsRxcorrespondents, research stated, “This paper investigates spiking neural networks (SNN) for novel roboticcontrollers with the aim of improving accuracy in trajectory tracking.”Our news editors obtained a quote from the research from University of Santiago of Chile (USACH):“By emulating the operation of the human brain through the incorporation of temporal coding mechanisms,SNN offer greater adaptability and efficiency in information processing, providing significant advantagesin the representation of temporal information in robotic arm control compared to conventional neuralnetworks. Exploring specific implementations of SNN in robot control, this study analyzes neuron modelsand learning mechanisms inherent to SNN. Based on the principles of the Neural Engineering Framework(NEF), a novel spiking PID controller is designed and simulated for a 3-DoF robotic arm using Nengoand MATLAB R2022b. The controller demonstrated good accuracy and efficiency in following designatedtrajectories, showing minimal deviations, overshoots, or oscillations. A thorough quantitative assessment,utilizing performance metrics like root mean square error (RMSE) and the integral of the absolute value ofthe time-weighted error (ITAE), provides additional validation for the efficacy of the SNN-based controller.”
University of Santiago of Chile (USACH)SantiagoChileSouth AmericaEmerging TechnologiesEngineeringMachine LearningNetworksNeural NetworksRoboticsRobots
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