Human action recognition has diverse applications, particularly in environments where humans and robots interact and collaborate. In any human-robot collaboration (HRC) scenario, a robot’s ability to understand human actions and intentions within the environment is crucial for both operational effectiveness and agent’s safety. Robot situational awareness leverages various innovative technologies. Nowadays, event cameras are a key element of computer vision and represent a promising technology for enabling robots to recognize human actions. These sensors capture movement by detecting changes in pixel brightness asynchronously, providing a higher temporal resolution than traditional cameras and minimizing data redundancy. The event data output canbe converted into a frame-like representation, allowing the application of proven frame-based action recognition algorithms.