Smart Microsystems Laboratory (SML) at Michigan State University develops advanced robotics, sensing systems, and autonomous technologies designed to operate in complex and dynamic environments. Led by Professor Xiaobo Tan, the lab takes a systems-based approach that integrates robotics, artificial intelligence, control systems, smart materials, and sensor technologies to address real-world challenges in areas ranging from environmental monitoring to autonomous decision-making.
Many of SML's research areas have direct relevance to national security, particularly in maritime and defense environments. Past projects supported by the Office of Naval Research and Naval Research Laboratory have focused on bio-inspired underwater vehicles, autonomous aquatic sensing, flow sensing and control for underwater systems, and highly maneuverable robotic fish. These technologies can contribute to maritime domain awareness, environmental intelligence gathering, autonomous surveillance, and next-generation unmanned systems.
Beyond underwater robotics, SML is advancing research in autonomous systems and intelligent sensing. Current projects include smart agricultural drainage systems that improve environmental monitoring and water management, soft robotic platforms designed for safe collaboration with humans, and sensor networks that support data-driven decision-making at scale. The lab also develops technologies for environmental surveillance, infrastructure monitoring, and distributed autonomous systems.
From monitoring waterways and protecting critical infrastructure to enabling autonomous systems in unpredictable environments, the lab's research demonstrates how breakthroughs in robotics, sensing, and autonomous systems can serve both civilian and defense needs. These smart technologies are helping shape the next generation of intelligent systems.
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