Carlos Morato
University of Maryland, College Park, AbbVie (United States)
Papers
4
Total Citations
199
H-Index
4
About
Carlos Morato is a leading researcher in the field of safe and efficient human-robot collaboration, with a particular focus on assembly operations. His major contributions center on developing frameworks that allow humans and robots to work in close proximity without compromising safety. Morato pioneered the use of multiple Kinect sensors for real-time human tracking, creating a physics-based simulation that replicates both human and robot movements to evaluate and prevent collisions. His work on "hybrid cells" introduced asynchronous collaboration models, where humans retrieve and place parts while robots perform assembly tasks, significantly improving workflow efficiency. His most cited paper, "Toward Safe Human Robot Collaboration by Using Multiple Kinects Based Real-Time Human Tracking," has garnered 172 citations, underscoring its impact on the field. Morato’s research has been instrumental in advancing exteroceptive sensing and human modeling, enabling safer interactions in shared workspaces. His achievements include developing frameworks that pause robot motion when collisions are imminent, a critical advancement for industrial applications. Morato’s work continues to shape the future of collaborative robotics, making him a key figure in the quest for safer, more efficient human-robot teams.
Research Focus
Key Achievements
Top Papers
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