SHANGHAI, April 24, 2026 /PRNewswire/ — Deepvein Mining Tech, a developer of robotic systems for mining operations, has received Gold at the 2026 NY Product Design Awards for its Intelligent Geological Mapping and Geochemical Sampling Quadrupedal Robots, a robotics series developed for mineral exploration in remote and high-risk field environments.
The NY Product Design Awards, organized by the International Awards Associate (IAA), recognize achievements in product design and industrial innovation worldwide.
Mining exploration has become increasingly costly and technically challenging as easily accessible deposits are depleted, particularly in remote and geologically complex regions where fieldwork can be slow, labor-intensive and operationally demanding.
Deepvein’s award-winning robotics series was developed to address those constraints through a combination of quadrupedal robotic hardware and integrated software systems. The solution supports route planning, equipment coordination, sample logging and geological data management, helping standardize field operations and reduce manual workloads.
Designed for geological mapping and geochemical sampling, the robotic units can autonomously perform targeted collection tasks while reducing repeated manual fieldwork. A single operating cycle can gather approximately 30 to 50 samples.
According to deployment data from company-operated mining assets in Africa, exploration data collection cycles were reduced from around 12 months to one week, while overall workflow costs fell by approximately 40%.
Beyond efficiency gains, the use of robotic systems in steep, high-temperature or hard-to-access areas can help reduce personnel exposure to hazardous conditions. Improved targeting and digital workflow management can also limit unnecessary surface disturbance during early-stage exploration.
Deepvein is developing a broader portfolio of mining robotics covering the industry lifecycle, with future applications expected in transport support, inspection, maintenance and site rehabilitation, alongside continued iteration of its exploration-stage systems.
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