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A biologically-inspired locally-connected spiking network for efficient and robust ground reaction force estimation in a legged robot.
Paolo Arena
Maria Francesca Pia Cusimano
Luca Patané
Poramate Manoonpong
Published in:
IJCNN (2023)
Keyphrases
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biologically inspired
spiking neural networks
biologically plausible
learning rules
spiking neurons
receptive fields
recurrent networks
feed forward
biological systems
artificial neural networks
legged robots
mobile robot
fuzzy logic
humanoid robot
motor control