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Citation:

I. MacDuff, S. Venema, B. Hannaford, 'The Anthroform Neural Controller: An Architecture for Spinal Circuit Emulation,' Proceedings of IEEE International Conference on EMBS, pp. 1289,90, Paris, 1992.

Abstract

Existing robotic manipulator and controller designs compare unfavorably to the human arm when performing tasks in unstructured environments. Traditionally, "anthropomorphic" designs have focused on replicating only the kinematics of the human arm. In contrast, we describe a versatile parallel computing architecture for emulating the spinal circuits of the human nervous system in conjunction with a dynamically realistic actuated arm model. This design is based on the structural constraints of the nervous system, and consists of a special purpose digital bus which implements connections between simulated neuron pools. The processing elements are circuit cards based on the TMS 320C30 digital signal processing chip. The system may be expanded to 256 processor cards, supporting a total of 1024 computational modes that are interconnected every millisecond.

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