ARL 43 – Research Assistant, Human Modeling and Simulation

Project Name
Agent-Based Modeling and Simulation of Human-Robot Teaming

Project Description
This project aims to create user-friendly simulations of multi-UAV (drone) systems and their human operators. The simulations must be lightweight enough to analyze large numbers (20+) of humans and agents at once, and accurate enough to enable the end user to make system design decisions, such as the number of personnel and quality of robots required to complete a mission. UAV-centered Army missions are used as scenarios for the analysis, and we investigate the performance of current and futuristic technology.

Job Description
The RA will assist the lead by researching quantifiable aspects of human performance. The scenarios considered will have UAV operators in a stressful environment trying to complete Army-relevant missions such as search and rescue. The RA will synthesize research on human performance so that the team can mathematically model and simulate humans in this environment (e.g. ability to detect UAVs flying overhead, number of UAVs a person can
simultaneously control).

Preferred Skills
– Human factors engineering
– Human-centered design
– Cognitive ergonomics
– Familiarity with UAVs (e.g. drone racing or design
– Programming (Java, C++, and Python preferred)
– Familiarity with agent-based modeling (e.g. NetLogo, MASON, AnyLogic, GAMA, AFSIM)

Apply now.

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