Urine, a bodily by-product which conveys a number of physiological insights is a potential candidate for ongoing, regular health assessment. Despite their remarkable advancements, automated urine analyzers remain laboratory-based instruments that need labor-intensive sample processing and analysis, rendering them unsuitable for routine health screening. To expedite routine health screening, this work reports on a human interruption-free robotic platform that bypasses the manual operation for biological sample assay including handling of assay steps and colorimetric analysis of target markers in the sample. The robotic arm and the customized Android app; the key components of the platform automate the assay inside an imaging chamber eluding manual operation under similar assay protocols for multiple measurements and processes post-assayed image to quantify the target urine markers. Detailed characterization of the robotic operation, light distribution, and image analysis of the proposed platform was applied in the detection of glucose, protein and pH level in artificial urine sample that reveals a set of essential performance parameters that are comparable to, or even better than, that of conventional urine assay. As a result, it is believed that the proposed device may suitably be applied for autonomous analysis of other biological samples as a routine point-of-care (PoC) device.