Yuni Rahmawati
Papers
1
Total Citations
2
H-Index
1
About
Yuni Rahmawati is a robotics researcher whose work centers on motion planning and autonomous navigation for mobile robots. Her most-cited paper, "Online Motion Planning For Mobile Robot" (2019), introduces a simulator-based approach that enables real-time path planning using a self-built platform. By leveraging Python and holonomic wheeled kinematics, Rahmawati developed a system that collects environmental data to guide robot movement dynamically, addressing key challenges in obstacle avoidance and adaptive control. While her citation count is still emerging, this foundational contribution demonstrates her commitment to bridging simulation and real-world deployment—a critical step for cost-effective robotics research. Her work is particularly relevant for students and engineers exploring low-cost, customizable platforms for autonomous systems. Rahmawati’s focus on accessible, Python-driven solutions positions her as a practical innovator in mobile robotics, with potential for future impact as autonomous navigation continues to evolve in industrial and service applications.
Research Focus
Key Achievements
Top Papers
- 1Online Motion Planning For Mobile Robot2 citations · 2019