Journal of Geo-Energy and Environment | Volume 2, Issue 3: 178-184, 2026 | DOI: 10.62762/JGEE.2026.553515
Abstract
Oil and gas testing laboratories have long encountered structural challenges including unclear functional roles, the disconnection between research and testing, and ongoing talent attrition, necessitating an intelligent transformation. Embodied intelligence, as an emerging paradigm integrating AI and robotics, features a local inference model of "cloud-device collaboration" that overcomes the limitations of traditional AI detached from the physical environment. Embodied intelligence enables laboratories to transition from "passive testing" to "proactive, intelligence-driven operations". Nonetheless, current deployment remains constrained by high costs and limited technological maturity. A p... More >
Graphical Abstract