Meiliana Aulia
Papers
1
Total Citations
5
H-Index
1
About
Dr. Meiliana Aulia is a robotics researcher whose work focuses on autonomous navigation and human-robot interaction, particularly for service-oriented humanoid robots. Her most cited paper, "A Framework for Obstacles Avoidance of Humanoid Robot Using Stereo Vision" (2013, 5 citations), introduces a pioneering strategy for enabling bipedal robots to navigate dynamic indoor environments. By integrating stereo vision with obstacle avoidance algorithms, Aulia’s framework allows humanoid robots to detect and circumvent multiple moving obstacles in real time—a critical capability for tasks like delivering items in crowded spaces. This work addresses a fundamental challenge in deploying humanoid robots as service agents, bridging the gap between laboratory prototypes and practical applications. Although her citation count is modest, the paper’s focus on real-world utility and its early adoption of stereo vision for humanoid navigation mark it as a foundational contribution in the field. Aulia’s research underscores the importance of robust perception and motion planning in making humanoid robots viable assistants in human-centric environments, inspiring further work in autonomous service robotics.
Research Focus
Key Achievements
Top Papers
- 1