AI and the Robotics Revolution
summary
Describes three completed robotics projects (drone inspection stack, manipulation pipeline, and autonomous navigation prototype) that use convolutional deep perception networks, uncertainty modeling, and sim‑to‑real transfer combined with probabilistic planners to build integrated perception‑planning stacks. Reports about ten field trials showing robust perception in clutter, successful door‑opening and grasping in real environments, and remaining failure modes in long‑horizon decision making and control.
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