Nik Mohd Zarifie Hashim
Papers
2
Total Citations
4
H-Index
2
About
Nik Mohd Zarifie Hashim’s research focuses on advancing robotics and autonomous systems, with key contributions in 3D object pose estimation and mobile robotic measurement tools. His most cited work addresses a critical challenge in robotic manipulation: reducing pose ambiguity during multi-viewpoint object pose estimation using depth sensors. By proposing a next-viewpoint recommendation method that minimizes ambiguity, Hashim enables robots to achieve more accurate object localization—a foundational capability for industrial automation and service robotics. This work, published in 2019, has garnered 2 citations, reflecting its niche but growing relevance in the field. In a parallel effort, Hashim developed a mobile robot equipped with an optical quadrature encoder for automated distance measurement, targeting practical limitations of manual tape measures in construction. This 2020 paper, also with 2 citations, demonstrates his commitment to bridging research and real-world engineering challenges. While his citation counts are modest, Hashim’s work exemplifies the early-stage innovation that underpins future breakthroughs in robotic perception and measurement. His dual focus on algorithmic precision and practical deployment positions him as a researcher attentive to both theoretical rigor and applied impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2