Max Robotics — Global Service Robot Directory + US Certification

About

Mark-Robin Giolando is a researcher at the forefront of human-robot teaming, with a focus on enhancing collaboration in high-stakes, unstructured environments. His work primarily spans autonomous underwater robotics, multi-robot systems, and human factors engineering. Giolando’s major contributions include developing decision support systems that enable autonomous underwater robots to perform grasping tasks in challenging conditions characterized by noisy perception and wave motion, and pioneering teleoperation strategies for coordinating multi-robot furniture assembly. He has also advanced the field of human-robot interaction by introducing an eye-tracking-based metric to assess situation awareness, thereby improving team transparency, and by creating predictive models for human teammate workload to optimize mission performance in high-pressure scenarios like disaster response. With his most-cited papers each garnering up to 3 citations, Giolando’s work is recognized for its practical impact on real-world robotic applications. His notable achievements include integrating ocular metrics into human-robot teams and designing preemptive workload prediction systems, marking him as a key contributor to safer, more efficient autonomous systems.