Abstract: The scientific validity and rationality of the performance evaluation system for underground material transport robots directly affect robot selection and application effectiveness. To address the lack of research on performance evaluation technologies for underground material transport robots and the poor adaptability of commonly used performance evaluation methods to underground environments, a performance indicator system for underground material transport robots was constructed from four dimensions: navigation, motion, energy consumption and safety. The system comprised four first-level indicators and 12 second-level indicators. An AHP-CRITIC combined weighting method was proposed by integrating the Analytic Hierarchy Process (AHP) and Criteria Importance Through Inter-Criteria Correlation (CRITIC) methods. The AHP and CRITIC methods were used to calculate the subjective and objective weights of each indicator, respectively. The subjective and objective weights were integrated using linear weighted synthesis, and the importance of the performance indicators was ranked and analyzed based on the combined weights to comprehensively evaluate the performance of underground material transport robots. The weights calculated by the AHP, CRITIC and AHP-CRITIC methods were analyzed. The results showed that safety and navigation performance were relatively more important and had higher priority in the performance evaluation of underground material transport robots. The AHP-CRITIC combined weighting method effectively balanced expert experience and data characteristics, and its calculation results were not affected by fluctuations in the weight preference coefficient, thereby providing a more stable representation of the performance level of underground material transport robots.