Exoskeleton: Technology for Man-Machine Interface

Abstract

This Project conducts applied research on metrics, measures, tools, and techniques to understand the relationships which enable maximum effectiveness of integrated Soldier-augmentation technologies. The resulting data are the basis for physical augmentation systems and equipment design standards, guidelines, and intelligent agent requirements to improve equipment operation and Soldier-system synergy. Application of this research will yield reduced workload, reduced Soldier training requirements, enhanced Soldier lethality/survivability, user acceptance, and allows the Soldier and systems to jointly achieve maximum performance. Major efforts explore novel techniques for Soldier assessment, characterization of individual variability effects on performance, and development of evidence based design guidance for the application of augmentation technologies to address current and future warrior performance issues. Individual efforts exploit wearable sensor technologies, translate surrogate task performance to operational outcomes, develop approaches to distinguish tasks and individual state, establish database of human movement variability to inform intelligent system design, and identify high impact applications of augmentation. Results of these efforts supports key Army needs and leverages the technical research of PEs 0602143A (Soldier Lethality Technology) and 0603118A (Soldier Lethality Advanced Technology). Additionally, this work complements and supports the Medical Research and Development Command under PE 0602787A (Medical Technology), Army Training and Doctrine Command (TRADOC), Human Systems Integration (HSI) Directorate (Army G1), and the Army Test and Evaluation Command (ATEC). The cited work is consistent with the Under Secretary of Defense for Research and Engineering priority focus areas and the Army Modernization Strategy. Work in this Project is performed by the United States Army Futures Command (AFC).

Document Details

• Document Type: Project
• Publication Date: Oct 01, 2022
• Source ID: BB7_0602143A_2_2040_PB_2022

Tags

Fields of Study

• Computer science
• Engineering

Readers

• Military Science and Technology Research and Modernization.
• Military Training and Readiness Simulation
• Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.