Inbolt to discuss physical AI’s deployment problem at RoboBusiness
RoboticsOperationsMechanical Engineering
THE AI ANGLE
Adjusting robot trajectories in real time via vision-guided in-hand localizationAt RoboBusiness, Inbolt CEO Rudy Cohen will argue that physical AI's industrial bottleneck is not data scarcity, but closing the perception-to-motion loop at servo frequency and overcoming costly integration barriers. Backed by production data across automotive lines like Ford, Toyota, and Stellantis, Inbolt uses vision-guided control and in-hand localization to adjust trajectories mid-move. For engineering and operations educators, this highlights that practical manufacturing advances depend on low-latency execution and reduced fixturing overhead rather than simply training larger AI models.
THE TEACHING ANGLE
Students can examine the critical operational disconnect between lab-centric AI research—which prioritizes dataset scale and larger models—and factory-floor realities that demand real-time servo-frequency feedback to eliminate expensive fixturing and wiring.Read the original at therobotreport.com Generate teaching or study materials
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