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ZINOVA collaborates with Zhuji Dianli to explore the application of robots in complex construction projects

2026-09-03 18:59 Products & Apps 🔥 42.2 heat score
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SummaryAI generated

ZINOVA works with Zhuji Power to explore the application of robots in complex construction environments, aiming to improve construction efficiency and safety. Both parties focus on the technical adaptation and practical deployment of robots in highly challenging construction scenarios, promoting the intelligent transformation of the construction industry.

Related eventsRELATED EVENTS
Key entitiesKEY ENTITIES
RIC RoboticsTRON 2ZINOVAZhiji Power

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
RIC Robotics × TRON 21RIC Robotics × ZINOVA1RIC Robotics × Zhiji Po…1TRON 2 × ZINOVA1TRON 2 × Zhiji Power1ZINOVA × Zhiji Power1

SignalsSIGNALS

Keyword heat
  • ZINOVA1
  • Zhiji Power1
  • RIC Robotics1
  • TRON 21

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雷锋网 zh 2026-09-03 18:59

ZINOVA partners with Zhuiji Power to explore the application of robots in complex construction sites

Recently, the physical AI research and development company ZINOVA, based on the TRON 2 dual-arm embodied robot from Zhiji Power, collaborated with the construction robotics company RIC Robotics to complete a simulation of tilt-up construction in a scaled-down scenario, covering core processes such as frame assembly, multi-layer steel reinforcement laying, and binding. This POC verified the feasibility of using embodied robots with existing tools to participate in complex construction processes, and it was another innovative practice by vertical industry companies to develop industry-specific applications based on general robotics platforms. ZINOVA expanded the working space of TRON 2 through modular design, enabling the dual arms to perform various tool operations in different directions and heights, and using human-machine collaboration to accumulate data to optimize autonomous capabilities. The goal of this solution is to enable the same set of tools to operate intelligently on robots in different forms, reducing process friction caused by differences in qualifications among workers in the construction industry, and accelerating the transition of embodied robots from technical verification to broader real-world applications.