PERCISPHERE Raises $14M for All-Terrain Robots

๐ก$14M fuels all-terrain robots for ag: embodied AI scales globally
โก 30-Second TL;DR
What Changed
Nearly USD 14 million Series A funding raised
Why It Matters
Funding accelerates robotics scaling for ag applications, boosting embodied AI in farming. Positions PERCISPHERE for global competition.
What To Do Next
Contact PERCISPHERE for beta testing their modular robot APIs in ag prototypes.
Key Points
- โขNearly USD 14 million Series A funding raised
- โขScaling modular heavy-payload all-terrain robots
- โขExpansion targeted at overseas agricultural markets
๐ง Deep Insight
Background and context from public sources โ not the original article. 6 sources cited.
๐ Enhanced Key Takeaways
- โขPercisphere was founded in 2020 and has developed five major robot iterations plus over 30 minor revisions through extensive field testing in Xinjiang's harsh terrain.
- โขThe company's robots feature a transformable chassis with T3000 configuration for open fields and G3000 for orchards, capable of carrying up to three tons, climbing 27-degree slopes, and operating eight hours on a single charge.
- โขRobots adjust wheelbase (1.0โ2.5m), ground clearance (1.2โ1.5m), and boom height (0.3โ1.8m) automatically, enabling 360-degree mobility and Z-shaped motion to minimize crop damage.
- โขPercisphere's platforms integrate GPS/RTK, multi-sensor perception, cameras, and AI for navigation in complex environments, already deployed across multiple Chinese provinces with contracts worth tens of millions RMB.
๐ ๏ธ Technical Deep Dive
- โขFully electric deformable platform with modular payload system and rotating adaptive transformation mechanism.
- โขWheel-edge drive technology supports 360-degree mobility and Z-shaped motion (forward, lateral shift, reverse without turning).
- โขSystem-level integration of hardware, software, AI decision-making, GPS/RTK positioning, and multi-sensor perception for reliable outdoor operation.
- โขRugged design with high ground clearance and industrial-grade wheels for uneven terrain, variable weather, and row crops.
๐ฎ Future ImplicationsAI analysis grounded in cited sources
โณ Timeline
๐ Sources (6)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: Pandaily โ
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