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Social robots are being deployed to interact with people in various scenarios, where they are expected to in-corporate human-like conversational strategies to achieve flu-ency in interactions. For example, current robots are designed to perform advanced communication strategies (i.e., personal anecdotes, explanations, and apologies) to recover from task failure. However, these tactics are not always sufficient for failure recovery as they can be lengthy and insufficient for encouraging future interactions. In human-human interactions, people often use humor as a low-risk and engaging method for managing failures. Thus, the successful execution of advanced, human-like humor could enable robots to recover from task failures more efficiently. In this paper, we present a human-robot interaction study exploring how a robot's utilization of various human-like humor types (i.e., affiliative, aggressive, self-enhancing, and …