Improved Robot Autonomy using Neuromorphic-Based Stochastic Computing
Abstract
The objective of this work is to use novel computing techniques to provide improved autonomous robot capabilities by fundamentally changing the way onboard computation is performed. The scope of this project is circuit and algorithm co-development, computer simulation, and circuit hardware experiments. The objective is to assess the performance of the proposed bio-inspired stochastic computing method. The proposed method’s computation capabilities will be compared to standard digital methods.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 30, 2020
- Source ID
- N001741910002
Entities
People
- Scott Koziol
Organizations
- Baylor University
- United States Navy