Title :
Path planning using a neuron array integrated circuit
Author :
Koziol, Scott ; Brink, Stephen ; Hasler, J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Neuromorphic Engineering is an interdisciplinary field which combines concepts from fields such as biology, neuroscience, computer science and engineering. The goal of this field is to design systems that are based on the principles of biological nervous systems. This paper presents hardware results for path planning using a neuron array integrated circuit. The algorithm is explained and experimental results are presented showing 100% correct performance for a large number of maze environment scenarios. Although there is still more work to be completed before this is a fielded system, this work represents an new application of a neuromorphic Integrated Circuit and the results demonstrate definite potential.
Keywords :
analogue integrated circuits; integrated circuit design; neural chips; path planning; biological nervous systems; integrated circuit design; maze environment scenario; neuromorphic engineering; neuromorphic integrated circuit; neuron array integrated circuit; path planning; Hardware; Neurons; Planning; Robots; aVLSI; neuromorphic; path planning; robotics;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736978
