Enabling Human-Centric Autonomous Systems
Abstract
We request support for purchasing essential instrumentation to pursue novel research related to modeling and simulation of complex autonomous systems using GPU Clusters. The underlying research will lay the scientific foundation of a new area related to ÒHuman-Centric Autonomous SystemsÓ, where machine-learning and AI algorithms are used to automatically reason, extract, and analyze the real physical world for modeling and simulation of a dynamical system with intelligence. Furthermore, the high-end workstations with multiple CPUs and GPUs will also support our current research on computational acoustics, physics-based simulation, and intelligent agents (including both virtual humans, social and legged robots). This equipment will also support the ongoing research funded projects by the U.S. Army Research Office (ARO) and will be used in our joint collaborative projects with Army Research Laboratory (ARL) in Aberdeen Proving Ground and Adelphi, and explore new possible collaboration with Army Testing and Evaluation Command. In terms of equipment support, we propose to acquire high-performance parallel computing capabilities through a GPU Computing Cluster, in support of creation of learning-enabled autonomous systems, and a legged robot system with sensing capabilities and supporting software packages. They will be used to train and test intelligent behaviors using deep learning models for perception, navigation and human-system interaction. Besides human-centric autonomous system in the physical (and virtual) worlds, the techniques developed using the proposed equipment will also be useful for ongoing research projects on computational acoustics, physics-based simulation, virtual reality and artificial intelligence.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 19, 2023
- Source ID
- W911NF2310046
Entities
People
- Ming C. Lin
Organizations
- Army Contracting Command
- United States Army
- University of Maryland