Papers

6

Total Citations

37

H-Index

4

About

Dr. Lau Bee Theng is a leading researcher in assistive robotics, human-robot interaction, and computer vision, with a focus on developing intelligent systems to support individuals with physical and cognitive disabilities. Her most impactful work centers on creating companion robots that can autonomously follow and monitor vulnerable users, such as children with Autism Spectrum Disorder or Cerebral Palsy, to prevent injuries and enhance safety. A key contribution is her segmentation-based angular position estimation algorithm for dynamic path planning, which enables robots to navigate cluttered environments while tracking a person—a foundational advance published in 2023. Her research has also pioneered sensor fusion techniques for indoor navigation and region-based convolutional neural networks for occluded person re-identification, addressing critical challenges in real-world deployment. With over 30 citations across her top papers, Dr. Lau’s work has been recognized for its practical impact, including her chapter on robotics for children with disabilities and the development of the CARMI child-following robot prototype. Her achievements demonstrate a rare blend of theoretical innovation and applied engineering, making her a vital figure in the quest for safer, more autonomous assistive technologies.

Research Focus

Key Achievements

4
H-Index
6
Papers
37
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Segmentation-Based Angular Position Estimation Algorithm for Dynamic Path Planning by a Person-Following Robot
9 citations · 2023
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Swinburne University of Technology Sarawak Campus, University of Technology Malaysia

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago