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Real-WorldFast Feature Field (F3)research

F3 paper presents a predictive representation for robotic perception

A Science Robotics paper introduces Fast Feature Field, or F3, as a predictive representation of events for robot perception. The supplied excerpt provides publication details but no performance measurements or deployment results.

Source · Science Robotics

The research presents a representation intended to support predictive perception in robots.

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Real-World

ESCAPE · research

ESCAPE explores egocentric sensing for robot collision avoidance

Researchers introduce ESCAPE, an online framework for egocentric sensing, collision avoidance, and policy execution. The work addresses blind spots and sensitivity to occlusion, clutter, and calibration associated with external-camera visuomotor policies.

Source · arXiv cs.RO

The framework targets perception limitations that complicate robot operation in unstructured environments.

Real-World

Humanoid walking control research · research

Humanoid control study tackles walking on unpredictably moving ground

A new research paper addresses humanoid walking when the supporting ground moves in unknown ways. It formulates a control problem involving persistent disturbances and the changing dynamics of legged motion.

Source · arXiv cs.RO

Accounting for moving ground addresses a practical obstacle to using humanoids in unstable environments.