A single control model picked, aligned, and mated two dissimilar connector families with zero per-connector programming and zero reconfiguration to switch between connector types.
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Adaptive Insertion
A ThoughtForge controlled robotic arm autonomously inserted deformable and rigid automotive parts into their housings in unpredictable, real world conditions with an insertion reliability of 95%.
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Wire Harness
Wire harness automation does not fail on any one case. It fails on the long tail: each exception is solvable, but innumerable, and the engineering cost never amortises.
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Valve Manipulation
BP wanted a robotic arm that could reliably manipulate a variety of valves with no prior knowledge of each valve: no CAD model, no measured geometry, no knowledge of its physical properties.
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Adaptive Robotic Insertion
A single model handles many parts: rather than training and tuning a separate model for every part number, one controller adapts to whatever part it is given.