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About

Kecai Cao is a control systems researcher whose work centers on multi-robot coordination, nonholonomic systems, and distributed cooperative control. His research has made significant contributions to the foundational challenges of coordinating groups of mobile robots that face inherent motion constraints — so-called nonholonomic systems — which cannot move in arbitrary directions and therefore present complex mathematical control problems. Cao's most influential contribution, "Cooperative path following control of multiple nonholonomic mobile robots" (2017, 29 citations), exemplifies his sustained focus on enabling fleets of robots to navigate collectively along prescribed paths. His earlier work on distributed consensus (2014, 27 citations) demonstrated how complex multi-robot agreement problems can be elegantly decomposed into simpler subsystems, yielding practical linear controllers. His cascade design framework for formation control, introduced in 2009 (23 citations) and extended through subsequent studies, provided a rigorous theoretical foundation for decentralized formation keeping and tracking, leveraging cascaded systems theory and linear cooperative control principles. Beyond multi-robot systems, Cao has advanced output feedback and LMI-based methods for global exponential tracking of nonholonomic chained-form systems, broadening the mathematical toolkit available to control engineers. Collectively, his body of work — spanning formation stabilization, consensus protocols, and trajectory tracking — has established him as a steady contributor to cooperative mobile robotics, with cumulative citations reflecting meaningful influence across the field.