Learning Inverse Kinematics Using Neural Computational Primitives on Neuromorphic Hardware

Engineering, Electrical Engineering, Information Science, Electronic Information, Automation, Artificial Intelligence, Life Sciences, Bioengineering,
inverse kinematics   neural computation   neuromorphic hardware   motor control   spiking neural network  

Learning Inverse Dynamics Using Brain-Inspired Computational Principles on Neuromorphic Hardware Background and Research Motivation In the modern field of robotics, there is great potential for low-latency neuromorphic processing systems enabling autonomous artificial agents. However, the variability and low precision of current hardware foundation...