Neuromorphic NEF-Based Inverse Kinematics and PID Control
Neuromorphic implementation of robotic control has been shown to outperform conventional control paradigms in terms of robustness to perturbations and adaptation to varying conditions. Two main ingredients of robotics are inverse kinematic and Proportional–Integral–Derivative (PID) control. Inverse...
Main Authors: | Yuval Zaidel, Albert Shalumov, Alex Volinski, Lazar Supic, Elishai Ezra Tsur |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-02-01
|
Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2021.631159/full |
Similar Items
-
Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi
by: Carlo Michaelis, et al.
Published: (2020-11-01) -
Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation
by: Avi Hazan, et al.
Published: (2021-02-01) -
A FPGA-Based Neuromorphic Locomotion System for Multi-Legged Robots
by: Erick Israel Guerra-Hernandez, et al.
Published: (2017-01-01) -
Breaking Liebig’s Law: An Advanced Multipurpose Neuromorphic Engine
by: Runchun Wang, et al.
Published: (2018-08-01) -
An FPGA-Based Massively Parallel Neuromorphic Cortex Simulator
by: Runchun M. Wang, et al.
Published: (2018-04-01)