Siavash Boroumand

About

Siavash Boroumand is a researcher specializing in embedded systems, mobile robotics, and real-time image processing, with a focus on FPGA-based implementations. His major contributions center on developing intelligent control systems for autonomous navigation, particularly through fuzzy logic algorithms and hardware-accelerated vision processing. His most cited work, "Path tracking and obstacle avoidance of a FPGA-based mobile robot (MRTQ) via fuzzy algorithm" (2013, 9 citations), demonstrates a pioneering approach to integrating fuzzy control on FPGA platforms for line tracking and obstacle avoidance in mobile robots. This work, developed on the MRTQ platform, showcases his ability to bridge theoretical algorithms with practical embedded systems. Boroumand further advanced the field with his 2014 paper on FPGA design for real-time vision applications on the NTACO mobile robot, enabling rapid image processing for obstacle detection. His research is notable for its emphasis on real-time performance and hardware efficiency, making his contributions valuable for students and researchers exploring embedded robotics, autonomous navigation, and FPGA-based control systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Path tracking and obstacle avoidance of a FPGA-based mobile robot (MRTQ) via fuzzy algorithm

   9 citations · 2013
2. 2
   FPGA design and implementation for real time vision applications on NTACO mobile robot

   2 citations · 2014

Key Collaborators

Contact & Links