Pooyan Amini

University of Ottawa, Isfahan University of Technology

Papers

Total Citations

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About

Pooyan Amini is a researcher in mobile robotics, with a focus on self-localization and sensor fusion for omnidirectional platforms. His work addresses the critical challenge of reducing positioning errors in 3-degree-of-freedom (3DoF) mobile robots, particularly those using three omni-wheels for motion. Amini’s major contribution lies in developing a novel method that integrates a modified odometry sensor with omnidirectional vision, employing a two-channel complementary filter to enhance localization accuracy. This approach, detailed in his most-cited paper (2004, 6 citations), significantly improves the robot’s ability to navigate precisely in dynamic environments. He further advanced the field with his "Analysis by Synthesis" method (2005, 3 citations), which offers a new perspective on self-localization by comparing synthesized and observed sensor data. Although his citation counts are modest, Amini’s work is notable for its practical, low-cost solutions that bridge the gap between theoretical localization algorithms and real-world robotic applications, making it relevant for researchers exploring sensor integration and autonomous navigation in constrained settings.