Papers
31
Total Citations
913
H-Index
13
About
Kira Barton is a leading researcher in precision motion control, manufacturing automation, and multi-robot systems. Her seminal work on cross-coupled iterative learning control (CCILC), introduced in her 2008 paper (226 citations), revolutionized multi-axis contour tracking by fusing individual and cross-coupled control into a unified framework. She further advanced the field with a norm-optimal approach to time-varying ILC (168 citations), enabling robust, high-performance precision motion for robotic testbeds. Barton’s contributions extend to smart manufacturing, where she developed a real-time performance monitoring framework using the Internet of Things (122 citations), and to heterogeneous robot teams, creating a stochastic programming framework for robust task scheduling under uncertainty (43 citations). Her research also tackles energy-efficient multi-robot reconnaissance and cooperative multi-agent production systems, demonstrating a commitment to both theoretical rigor and practical deployment. With over 800 total citations, Barton’s work bridges control theory, cyber-physical systems, and robotics, making her a pivotal figure in modern automation. Her achievements include leading NSF-funded projects and shaping next-generation manufacturing through intelligent, adaptive systems.
Research Focus
Key Achievements
Top Papers
- 1A Cross-Coupled Iterative Learning Control Design for Precision Motion Control226 citations · 2008
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- 8Norm optimal Cross-Coupled Iterative Learning Control35 citations · 2008
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