Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm
Author:
Affiliation:
1. University of Seville,Robotics and Technology of Computers Lab. I3US. SCORE,Seville,Spain
2. Institute of Neuroinformatics University of Zurich and ETH Zurich,Zurich,Switzerland
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937845.pdf?arnumber=9937845
Reference21 articles.
1. A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
2. Neuromorphic Implementation of Spiking Relational Neural Network for Motor Control
3. An end-to-end spiking neural network platform for edge robotics: From event-cameras to central pattern generation;lele;IEEE Transactions on Cognitive and Developmental Systems,2021
4. Event-based PID controller fully realized in neuromorphic hardware: a one DoF study
5. Controlling a Robot Arm for Target Reaching without Planning Using Spiking Neurons
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1. Synchronization control algorithm model and control strategy for robotic arm based on deviation coupling;Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024);2024-06-05
2. Integrating a hippocampus memory model into a neuromorphic robotic-arm for trajectory navigation;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
3. Towards neuromorphic FPGA-based infrastructures for a robotic arm;Autonomous Robots;2023-07-14
4. Spiking Neural Networks for Robotic Applications;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-06-16
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