Spatial Intelligence in the Wild
Consider robot moving in complex terrains like rocky fields, dense forests, or mixed-domain areas such as wetlands interspersed with vegetation.
Consider robot moving in complex terrains like rocky fields, dense forests, or mixed-domain areas such as wetlands interspersed with vegetation.
Autonomous racing introduces numerous challenges, especially when vehicles reach speeds exceeding 160 mph.
Identifying semantics such as navigable space using onboard sensors is a fundamental capability for all robots,
Robots often need to learn an environment model in real-time, simultaneously gathering data to build and refine it.
Robots must handle the inherent uncertainty of the world. This also relates to efficient reinforcement learning.
Many robots can collaborate to explore 3D spaces, interacting with each other, static obstacles, and dynamic objects like humans.
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