Alicia Tang Yee Chong
Papers
1
Total Citations
2
H-Index
1
About
Dr. Alicia Tang Yee Chong is a researcher in computational task management and robotics, focusing on the development of algorithms that optimize task prioritization for autonomous systems. Her key research areas include task scheduling, robotic automation, and decision-making frameworks. Her most notable contribution is the formulation of a Mandatory Task Algorithm using a task prioritization technique, which defines and automates the selection of urgent and important tasks for robotic appliances. This work, published in 2018, provides a foundational method for enabling robots to efficiently sequence actions to achieve specific goals, ensuring critical tasks are completed first. Although her highly cited paper has garnered 2 citations, its conceptual clarity and practical relevance have established a basis for further exploration in task automation. Dr. Tang’s research bridges theoretical algorithm design and applied robotics, offering a systematic approach to enhance the autonomy and efficiency of robotic systems in real-world environments. Her work is particularly valuable for students and researchers interested in the intersection of artificial intelligence, operations research, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1