Farshid PirahanSiah

Papers

Total Citations

H-Index

About

Farshid PirahanSiah is a robotics researcher whose work focuses on advancing autonomous navigation and perception for humanoid robots. His primary research areas include simultaneous localization and mapping (SLAM), multi-modal robot vision, and camera calibration. PirahanSiah’s most cited paper, “Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages” (2013, 14 citations), provides a foundational overview of SLAM techniques and their integration with humanoid robotic systems, addressing the critical challenge of real-time environment mapping and self-localization. He further explores vision-based autonomy in “Camera calibration for multi-modal robot vision based on image quality assessment” (2015, 4 citations), where he tackles the open issue of automatic calibration in varying environments—a key limitation in current robot vision compared to human perception. His more recent work, “Camera Calibration and Video Stabilization Framework for Robot Localization” (2021, 3 citations), extends these ideas by combining calibration with stabilization to improve localization accuracy. Through these contributions, PirahanSiah has helped bridge gaps in robust, adaptive vision for autonomous systems, making his research valuable for students and engineers developing next-generation humanoid robots capable of navigating complex, unstructured environments.