Monica Katherine Gonzalez
Papers
5
Total Citations
73
H-Index
3
About
Monica Katherine Gonzalez is a robotics and manufacturing researcher whose work centers on improving the precision and usability of industrial manipulators in demanding applications. Her primary focus lies in compliance calibration, error compensation, and the kinematic behavior of serial articulated robots — areas critical to expanding the role of robotic manipulators in high-force industrial processes. Gonzalez's most influential contribution, "Online Compliance Error Compensation System for Industrial Manipulators in Contact Applications" (2022), has garnered 54 citations and addresses a fundamental limitation of industrial robots: their inherent low stiffness, which causes significant deformation under load. By developing real-time compensation strategies, her work helps unlock the potential of flexible, cost-effective manipulators in applications previously considered beyond their capabilities. Her complementary research on quasi-static compliance calibration (2021, 10 citations) introduced novel procedures for characterizing robot stiffness during low-velocity movements, while her 2023 study systematically examined how velocity influences deflection across robots from multiple manufacturers. Rounding out her portfolio, Gonzalez has explored kinematic calibration efficiency and the transferability of compensation parameters between robot platforms — work that points toward more scalable, industry-ready solutions. Together, her contributions represent a cohesive and growing body of research advancing robotic accuracy in real-world manufacturing environments.
Research Focus
Key Achievements
Top Papers
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