This study demonstrates the significant benefits of using collaborative robotics to automate the repetitive tasks involved in monitoring materials exposed to environmental conditions, such as immersion in water. By automating specimen handling, mass measurement, and mechanical testing, our approach greatly reduces the burden on researchers, allowing them to focus on data analysis and experimental design rather than labor-intensive manual tasks. The integration of do-it-yourself accessories, including Arduino-controlled water replacement, temperature regulation, and drying systems, further enhances the versatility and reliability of the setup.