Alvina Aulia
Papers
1
Total Citations
5
H-Index
1
About
Alvina Aulia is a robotics researcher whose work focuses on humanoid robot navigation and obstacle avoidance in dynamic indoor environments. Her most-cited paper, "A Framework for Obstacles Avoidance of Humanoid Robot Using Stereo Vision" (2013, 5 citations), introduces a stereo vision-based framework that enables humanoid robots to detect and avoid multiple moving obstacles while performing service tasks, such as delivering a cup to a customer. This contribution addresses a critical challenge in service robotics: safe and autonomous navigation in human-centric spaces. Aulia’s work integrates computer vision, path planning, and real-time decision-making, laying groundwork for more responsive and reliable humanoid robots. While her citation count is modest, her research is notable for its practical application in service robotics, a growing field with significant societal impact. Aulia’s framework exemplifies how stereo vision can enhance robot perception and safety, making her a promising voice in the development of assistive robots for everyday environments.
Research Focus
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Top Papers
- 1