Denis Patti
Papers
2
Total Citations
11
H-Index
2
About
Denis Patti is a researcher at the forefront of embedded robotics and high-performance computing, specializing in the application of General-Purpose Graphics Processing Units (GPGPUs) for real-time robotic control. His work addresses the critical challenge of executing computationally intensive algorithms—such as inverse kinematics—on low-power, mobile platforms. Patti’s major contributions include demonstrating that GPGPU-accelerated mobile devices can rival traditional embedded controllers in processing complex, nonlinear equations required for industrial motion control. His most cited paper, "A General-Purpose Graphics Processing Unit (GPGPU)-Accelerated Robotic Controller Using a Low Power Mobile Platform" (2017, 6 citations), showcases a pioneering approach to leveraging mobile phone GPUs for robotic tasks, while his comparative study "Comparison of GPGPU based robotic manipulator with other embedded controllers" (2016, 5 citations) provides critical benchmarks for the field. Though his citation counts are modest, Patti’s work is notable for pushing the boundaries of energy-efficient, high-performance robotics, offering a pathway toward more accessible and compact robotic systems. His research holds particular relevance for students and engineers exploring the intersection of embedded systems, parallel computing, and automation.
Research Focus
Key Achievements
Top Papers
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