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About

Ricardo Dias is a robotics researcher whose work centers on multi-robot coordination, real-time perception, and human-robot collaboration for dynamic environments. His most significant contributions lie in multi-object tracking, where he developed robust, real-time solutions for highly dynamic settings—enabling autonomous robots to maintain accurate world models despite moving obstacles. His paper on this topic, with 11 citations, remains a foundational reference for distributed sensing and tracking in multi-agent systems. Dias also advanced human-robot safety and efficiency in logistics and manipulation tasks, as reflected in his 2017 work on collaboration and safety management. In the competitive domain of RoboCup Middle-Size League, he pioneered dynamic strategic positioning and improved kicking accuracy for soccer robots, demonstrating practical, high-speed coordination under pressure. His research on multi-robot fast-paced coordination with leader election further showcases his expertise in decentralized decision-making. With a portfolio spanning from foundational tracking algorithms to applied robotic soccer and industrial automation—including the TIMAIRIS autonomous blank feeding system—Dias has made a measurable impact on both academic robotics and real-world autonomous systems.