In the context of variable, uncertain, complex and ambiguous, it is crucial to enhance team resilience through human-robot collaboration supported by digital technology. While increasing the resilience of the project team, artificial intelligence-based Human-robot collaboration also produces uncertainty in Human-robot collaboration behavior. It weakens the ability of the Human-robot team to cope with adversity due to the complex and random operating environment. Based on the resource base theory and team process theory, starting from the innovation of Human-robot collaboration on traditional work scenarios and organizational models, the regression equation model is used to test the action path and influencing mechanism of Human-robot collaboration on the resilience of project teams. Through the analysis of the data of 105 project teams, the results show that Human-robot collaboration has a significant positive impact on team resilience, resource acquisition plays a significant mediating role in the relationship between Human-robot collaboration and team resilience, and Human-robot trust plays a significant moderating role in the relationship between Human-robot collaboration and project team resilience.