Tariq Abuhashim

Papers

Total Citations

H-Index

About

Tariq Abuhashim is a researcher specializing in mobile robotics, autonomous navigation, and sensor fusion, with a focus on integrating perception and localization systems for intelligent machines. His work addresses critical challenges in enabling robots to understand and move through complex environments. A major contribution is his development of mobility map computations using RGBD sensors, which allows humanoid robots to model scenes and plan stable walking motions—a key step toward practical, life-sized humanoids. This work, published in 2016, has garnered 4 citations, reflecting its niche but foundational relevance. Additionally, his 2009 Master’s thesis on improving INS/GPS integration for mobile robotics applications (2 citations) demonstrates early expertise in fusing inertial navigation with global positioning systems, a cornerstone for robust robot localization in GPS-denied or dynamic settings. Abuhashim’s research bridges theoretical algorithms and real-world deployment, offering practical solutions for autonomous navigation. His contributions are particularly valuable for students and engineers exploring sensor-based motion planning and localization, providing a springboard for advancing humanoid mobility and field robotics.