Eric McCormick
Papers
2
Total Citations
16
H-Index
2
About
Eric McCormick’s research centers on the modeling, optimization, and simulation of robotic systems, with a particular focus on parallel manipulators and mobile robotics. His major contributions include a detailed inverse kinematic solution for 3-RRR Delta Robots and the application of Genetic Algorithms for workspace optimization, providing a practical framework for designing these high-speed, precision manipulators. In mobile robotics, McCormick pioneered the use of linear graph theory to model the complex dynamics of four-wheel skid-steer robots, offering a systematic approach to deriving state-space models for such systems. His work on the Delta robot, published in 2019, and his dynamic modeling paper from 2022 have each garnered 8 citations, establishing a solid foundation for future research in robotic design and control. Notably, his integration of real-time MATLAB simulation with optimization techniques bridges theoretical kinematics with practical engineering, making his findings directly applicable to the development of more efficient and capable robotic platforms.
Research Focus
Key Achievements
Top Papers
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