A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot-Reference-Cited by-同舟云学术

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A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Arena Paolo¹,Pia Cusimano Maria Francesca¹,Patané Luca²,Manoonpong Poramate³

Affiliation:

1. Alessia Li Noce, Lorenzo Emmanuele Meli, Salvatore Taffara DIEEI - Università degli studi di Catania,Catania,Italy

2. Università degli studi di Messina,Dipartimento di Ingegneria,Messina,Italy

3. The Mærsk Mc-Kinney Mϕller Institute University of Southern Denmark,Embodied Artificial Intelligence and Neurorobotics Laboratory, SDU Biorobotics,Odense,Denmark

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191915.pdf?arnumber=10191915

Reference23 articles.

1. Neural reuse: A fundamental organizational principle of the brain

2. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

3. Distributed-force-feedback-based reflex with online learning for adaptive quadruped motor control

4. From Action to Cognition: Neural Reuse, Network Theory and the Emergence of Higher Cognitive Functions

5. The Insect Mushroom Bodies: a Paradigm of Neural Reuse;patanè;ECAL 2013 The Twelfth European Conference on Artificial Life,0

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