Papers
10
Total Citations
306
H-Index
5
About
Mili Shah is a robotics and metrology researcher whose work sits at the intersection of robot calibration, perception systems, and human-robot interaction. She is perhaps best known for her foundational contributions to the robot-world/hand-eye calibration problem, most notably her 2013 paper "Solving the Robot-World/Hand-Eye Calibration Problem Using the Kronecker Product," which has accumulated 169 citations and introduced an elegant separable closed-form solution to the AX = YB problem — a challenge central to integrating sensors and robotic systems. Her 2012 survey on robot-sensor calibration methods, with 90 citations, further established her as a leading voice in systematizing calibration approaches for evaluation of robotic perception systems. Beyond calibration theory, Shah has made meaningful contributions to mobile manipulator performance measurement, smart manufacturing metrology, and exoskeleton fit assessment, reflecting a career-long commitment to bridging mathematical rigor with real-world robotics applications. Her dynamic metrology work on six-degree-of-freedom tracking systems demonstrates a practical orientation toward advancing autonomous and collaborative robotics in manufacturing contexts. More recently, her research into markerless pose estimation for industrial exoskeletons signals a forward-looking focus on human safety and wearable robotics. Across a diverse publication portfolio, Shah has proven herself an indispensable figure in robotic systems measurement science.
Research Focus
Key Achievements
Top Papers
- 1Solving the Robot-World/Hand-Eye Calibration Problem Using the Kronecker Product169 citations · 2013
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- 3Calibration of mobile manipulators using 2D positional features18 citations · 2018
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- 6Mathematical metrology for evaluating a 6DOF visual servoing system4 citations · 2009
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