The field of eye gaze tracking and human-robot collaboration is rapidly evolving, with a focus on developing innovative systems that can improve training, interaction, and overall performance. Researchers are exploring the use of augmented reality, machine learning, and computer vision to create more advanced and accurate eye gaze tracking systems. These systems have the potential to revolutionize the way we approach tasks such as surgical training, colonoscopy, and human-robot interaction. Noteworthy papers include: Focus on the Experts, which presents a co-designed AR eye-gaze tracking system with surgical trainees to improve endoscopic instruction. GazeTarget360, which proposes a system for 360-degree gaze target estimation from an image in generalized visual scenes. VergeIO, which presents the first EOG-based glasses that enables depth-aware eye interaction using vergence with an optimized electrode layout and novel smart glass prototype.