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Salem Robotics launches hardware-agnostic software layer for constrained manipulation in industrial inspection robots
Illustration only Photo by Claudio Schwarz on Unsplash
Salem Robotics (YC S26) launched a software product that gives existing mobile robots the task-specific intelligence to perform physically interactive inspections such as nuclear smear surveys and LDAR valve inspections in hazardous industrial facilities.
The company targets a gap between capable robot hardware and the manipulation intelligence needed to complete industrial inspection procedures reliably without manual trajectory authoring. Their hybrid approach, AI for semantic understanding, classical robotics for geometric constraints, reflects a bet that safety-critical environments require predictable behavior and theoretical guarantees that end-to-end learned systems do not easily provide. This launch is carried by a single Hacker News post with no independent corroboration.
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Salem Robotics builds a hardware-agnostic application layer on top of existing mobile robot platforms rather than manufacturing new robots.
The system generates constrained manipulation plans from observed geometry in real time, avoiding the need to manually author trajectories for each surface, valve, or flange.
The founders bring roughly 15 years of combined nuclear industry experience, including about 10 years developing autonomous robots at Los Alamos National Laboratory.
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