Robotic Information Gathering
Robots often need to learn an environment model in real-time, simultaneously gathering data to build and refine it.
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Assured Autonomy in Unstructured Environment
Consider the safety issue of navigating complex terrains like rocky fields, dense forests, or mixed-domain areas such as wetlands interspersed with vegetation.
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High-Speed Autonomy
Autonomous racing introduces numerous challenges, especially when vehicles reach speeds exceeding 150 mph.
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Onboard Perception and Navigablity Leanring
Identifying navigable space using onboard sensors is a fundamental capability for all robots,
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Decision Making and Control
Robots must handle the inherent uncertainty of the world. This also relates to efficient reinforcement learning.
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Multi-Robot (Swarm) Coordination
Many robots can collaborate to explore 3D spaces, interacting with each other, static obstacles, and dynamic objects like humans.