Tan Minh Cao

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About

Tan Minh Cao is a rising researcher at the forefront of multi-robot systems and human-robot collaboration, with a particular focus on perception challenges in dynamic environments. His work centers on the cognitive mechanisms that enable effective cooperation between robots and humans, especially in mixed swarms where uncertainty and real-time decision-making are critical. In his 2024 paper on “Perception Challenges for Mixed Robot-Human Swarm Collaboration,” Cao demonstrates how perception sharing—such as through camera processing—can significantly reduce cognitive uncertainty in robotic swarms, laying groundwork for more intuitive human-swarm interaction. He has also contributed to the RoboCup community, co-creating a shared dataset for object detection in robot soccer (2025) and authoring a comprehensive review of sensing and perceptual strategies for multi-agent robot swarms in that domain. Though early in his career, Cao’s work is already gaining traction, with his most-cited paper accumulating 2 citations in its first year. His research promises to advance the reliability and intelligence of autonomous systems operating alongside humans, making him a notable emerging voice in swarm robotics and embodied AI.