Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Bio-Inspired Actuation and Sensing
Autonomous Robots
ISAC: Foundations in Human-Humanoid Interaction
IEEE Intelligent Systems
Locust olfaction (synchronous oscillations in excitatory and inhibitory groups of spiking neurons)
Emergent neural computational architectures based on neuroscience
The cog project: building a humanoid robot
Computation for metaphors, analogy, and agents
Perfect image segmentation using pulse coupled neural networks
IEEE Transactions on Neural Networks
Towards biomimetic neural learning for intelligent robots
Biomimetic Neural Learning for Intelligent Robots
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In this paper we present our bio-mimetic artificial arm and the simulation results on its low level control system. In accordance with the general view of the Biorobotics field we try to replicate the structure and the functionalities of the natural limb. The control system is organized in a hierarchical way, the low level control reproduces the human spinal reflexes and the high level control the circuits present in the cerebral motor cortex and the cerebellum. Simulation show how the system controls the single joint position reducing the stiffness during the movement.