Army Research Laboratory Research Associateship Program - Heterogeneous operating in dynamic and unstructured environments

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This specific opportunity focuses on developing computational methods that enable robots to perceive and understand their environment; move, see, orient and collaborate in complex missions with limited human intervention. Research areas include robust perimeter defense systems, robotic autonomy in mixed-initiative operations, collaboration of heterogeneous robot teams in communications-limited environments, autonomous navigation at operational tempo, detection and tracking of moving objects from stationary and moving robots, multi-robot object tracking, GPS-denied localization of robots and objects in the scene, reasoning over semantic concepts, fusion of information from heterogeneous sensors for robot missions, optimization of complex algorithms for computationally limited platforms, experimentation and validation methods in robotics, adaptive sampling of information in decision-making, decision-making algorithms for human-robot collaborative tasks, game theory applied for multi-agent learning, and distributed optimization communication for collaborative multi-robot tasks. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.