Posted: 11-19-2024

Title: Autonomy Stack Integrator

Locations: US Army DEVCOM Army Research Laboratory at Aberdeen Proving Ground

Description: The research is part of the Military Information Sciences (MIS) competency: Underpinning sciences, physical autonomy, and enablers required to provide timely, mission-aware information to humans and systems at speed and scale for all-domain and coalition operations. This research develops computational methods that enable robots to perceive and understand their environment; move, see, orient, and collaborate in complex environments with limited human intervention. One focus of the ARL team is to optimize computationally expensive algorithms of our autonomy stack. The ARL autonomy stack has many perception algorithms including object detection, semantic segmentation, image classification, etc. The student will closely work with ARL researchers in optimizing and integrating algorithms of unmanned ground vehicles (UGVs) and evaluating their performance in the lab and during field tests.

The position will include the following:

1. Using Python, C++, and software repositories
2. Optimizing computationally expensive algorithms
3. Using containerization technologies such as Docker to create a docker image for algorithms to be evaluated in ROS environment
4. Deploying machine learning algorithms in a ROS environment on multiple ground platforms
5. Integration of algorithms onto quadrupedal robotic platforms
6. Working in simulation environments to evaluate robotic platforms
7. Documenting and publishing the results in technical reports or conference papers

Level: Bachelor’s degree in Computer Science/Graduate Degree