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Takeaways from DEEP Robotics visit: Power and firefighting revenue intact, industrial verticals still exploratory pilots, according to management
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Takeaways from DEEP Robotics visit: Power and firefighting revenue intact, industrial verticals still exploratory pilots, according to management
acoustic
and temperature sensing; firefighting and patrol units are also being rolled out across
provinces including Hunan, Shanxi and Henan, alongside overseas park-and-warehouse
projects in Singapore and North America. The principal constraints, based on our external
industry survey, remain price and performance; while endurance, repeat-positioning
accuracy, multi-floor navigation and stability in dust, damp or extreme-temperature
conditions all remain only partially resolved. The survey further suggests that self-sensing
"smart-instrument" solutions could, over time, gradually erode the substation-inspection
opportunity as substations digitalise; the survey therefore sees power and firefighting as
credible near-term anchors, yet view broad, recurring industrial adoption as still
dependent on further cost-down and capability gains.
Physical AI still takes time as world-model paths remain unsettled
Management frames the sector's long-term trajectory around the "brain." It argues that
embodied robotics ultimately requires physical AI as a general-purpose technology, a
maturation it expects to take at least eight to ten years or longer, with today's models still
at an early stage. Crucially, the high-level technology roadmap has not yet converged:
leading academic work has been shifting from VLA-style (Vision-Language-Action) routes
toward world models, yet definitions of the "world" and scene understanding still differ
across players, leaving no firm timeline; by contrast, the "cerebellum," increasingly built
around RLMs (reinforcement learning models), is viewed as largely defined. On
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