Papers
2
Total Citations
3
H-Index
1
About
Nur Hasanah’s research bridges robotics education and industrial automation, with a focus on making complex technical concepts accessible and practical. Her most cited work, “Learning Tool for Robotics Basic Programming Based on Contextual Teaching and Learning to Improve Problem-Solving Skills” (2020, 2 citations), introduces an innovative pedagogical approach that uses real-world contexts to help students master robotics programming. By addressing common pitfalls—such as algorithm design errors and translation mistakes in flowcharts—this tool directly enhances problem-solving abilities in foundational robotics courses. Complementing this educational focus, her paper “Kinematics Simulation of Welding Manipulator Based on V-REPPRO EDU” (2019, 1 citation) demonstrates technical depth in industrial robotics. Here, she applies Denavit-Hartenberg parameters to model a 6-DOF welding manipulator, using algebraic methods for inverse kinematics and V-REPPRO EDU for simulation. This work supports the growing need for efficient, all-position welding in modern manufacturing. Though early in her career, Hasanah’s dual emphasis on teaching tools and applied kinematics signals a commitment to both developing future engineers and advancing robotic precision in industry. Her contributions offer valuable resources for students and researchers exploring robotics education and simulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Kinematics Simulation of Welding Manipulator Based on V-REPPRO EDU1 citations · 2019