๐ช๐ต๐ ๐๐ต๐ฒ ๐ก๐ฒ๐ ๐ ๐๐ฟ๐ฒ๐ฎ๐ธ๐๐ต๐ฟ๐ผ๐๐ด๐ต ๐ถ๐ป ๐ฅ๐ผ๐ฏ๐ผ๐๐ถ๐ฐ๐ ๐ฆ๐๐ฎ๐ฟ๐๐ ๐ช๐ถ๐๐ต ๐๐๐บ๐ฎ๐ป-๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ฒ๐ฑ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ๐
Robotics systems are improving quickly, but most of their shortcomings show up in the same place:
real operations. Not in demos, not in labs, and not in carefully designed pilot programs, but in facilities where work happens every day and conditions are rarely ideal.
Across logistics, manufacturing, healthcare, defense, and commercial environments, robots are being askedto operate in spaces that were designed for people. These spaces are dynamic, inconsistent, and shaped by decades of human behavior. The gap between robotic capability and operational reality is not primarily a hardware problem or a lack of sophisticated algorithms. It is a data problem.
More specifically, it is a problem of not having enough exposure to how work is actually done.
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