Research

Robust Physical AI for autonomous robotic systems operating in real-world, resource-constrained environments.

Our research focuses on Robust Physical AI for autonomous robotic systems operating in real-world, resource-constrained environments. We study the algorithmic and systems foundations that enable reliable perception, coordinated decision-making, and efficient on-device intelligence across heterogeneous robotic platforms — including UAVs, quadruped UGVs, and mobile manipulators.

Everything we build runs entirely at the edge, making our systems viable in contested and communication-denied environments where cloud connectivity is unavailable or inadmissible.

Research Pillars

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PILLAR 01 Perception PILLAR 02 Coordination PILLAR 03 Edge Intelligence Robust Physical AI at the intersection

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