Micro Autonomous Systems and Technology (MAST) Final Annual Report for Program Capstone
Abstract
The vision of the Micro Autonomous Systems and Technology (MAST) program was to enhance tactical situational awareness in urban and complex terrain by enabling the autonomous operation of a collaborative ensemble of multifunctional, mobile microsystems through collaborative and multidisciplinary research. Through a comprehensive basic research program, the MAST consortium developed innovative technologies to enable Soldier-portable, scaled unmanned aerial systems (UASs) and unmanned ground vehicles (UGVs). Specific directions of advancement included scaling down autonomous capabilities to handheld-sized platforms; advancing GPS-denied mapping and navigation methods; driving the development of vision-based approaches for state estimation, control, and navigation; increasing the operational speed and aggressive control for small UASs; developing methods for collaborative behaviors between UAS and UGV autonomous systems; enabling bio-inspired behaviors such as perching and complex terrain agility; developing and validating physicsbased computational fluid dynamics simulation tools for MAST-scaled and highly maneuverable UASs; and advancing new technologies to address the size, weight, power, and algorithm efficiency of sensing and communications technologies.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2018
- Accession Number
- AD1063151
Entities
People
- Allison Mathis
- Brett Piekarski
- Brian M. Sadler
- Christopher Kroninger
- David Baran
- Inderjit Chopra
- J. S. Humbert
- Kamal Sarabandi
- Larry Matthies
- Susan Wright
- Vijay Kumar
- William Nothwang
Organizations
- United States Army Research Laboratory