Max Robotics — Global Service Robot Directory + US Certification

About

Michail Karakikes investigates the critical intersection of cognitive ergonomics and human–robot collaboration (HRC), with a primary focus on how mental workload influences decision-making in dynamic industrial settings. His most-cited work, “The effect of cognitive workload on decision authority assignment in human–robot collaboration” (2022, 27 citations), examines the pivotal question of whether task allocation and scheduling decisions should rest with human operators or be automated. By systematically analyzing how varying cognitive demands affect optimal authority assignment, Karakikes provides foundational insights for designing adaptive robotic systems that can flexibly shift between tasks while maintaining team efficiency and safety. His research directly addresses a core challenge in Industry 4.0: enabling robots to respond intelligently to human cognitive states rather than operating on fixed protocols. Though a relatively early-career researcher, his work has already garnered attention within the HRC community, with a subsequent correction (2023) demonstrating rigorous scholarly engagement. Karakikes’ contributions are particularly valuable for engineers and human-factors specialists seeking to build more intuitive, workload-aware collaborative systems that enhance rather than overwhelm human operators.