Reference Number: DEVCOM-093
Project Description
The Science of Intelligent Systems Division (SISD) seeks multiple interns for research on increasing complexity levels, robustness, and resilience of autonomy to enable future unmanned aerial and ground systems to perform semi-autonomous to fully autonomous maneuvers. This includes foundational research on developing improved vehicle perceptual, learning, reasoning, communication, and advanced mobility capabilities. Research in autonomy utilizes continuous experimentation to investigate, assess, and improve advanced algorithms as well as assess ARL autonomy stacks – integrated perceptions, processing, and control software modules – for autonomous behavior for various air and ground vehicle platforms at Robotic Research Collaboration Campus (R2C2) test site at Graces Quarters, Autonomous System Integration Lab at APG, and Emmerman Intelligent Systems Lab at ALC. Internship opportunities are available in the following research areas:
- Hardware/software integration and data generation for perception sensors (integrate sensors onto robot and into autonomy stack, collect data, label data, update algorithms).
- Legged robot controllers’ investigations in uncertain environments and integrating perception to enable legged robots to reason about the world they move through.
- Autonomy and related technologies enable BVLOS flight in congested environments, including proximity to terrain flights or flying through forests.
- Simulations on integrating autonomy and coupling AI and autonomy for next-generation robotics and multi-agent teaming. Evaluate and assess simulation applications to develop autonomous behaviors using reinforcement learning.
- Soft robotics manipulations to overcome the inherent limitations of traditional rigid manipulators.
- Experimentally evaluate novel learning-based techniques for control, navigation, perception, and state estimation for ground and/or small aerial robotics.
- Research multi-agent coordination and collaboration techniques for small teams of autonomous robots
- Development and evaluation of Agentic AI technology for military applications, such as battle damage assessment, by deployment on aerial or ground autonomous systems.
Technical Skills
- Programming languages such as C or Python
- Proficiency in Mathematics and Engineering
