Wei Kang Tey

Thomas More Universitas

Papers

1

Total Citations

2

H-Index

1

About

Wei Kang Tey is a researcher specializing in robotics and sensor fusion, with a particular focus on improving navigation accuracy in omnidirectional mobile robots. His most-cited work, "Low Cost Sensor Data Fusion in Omnidirectional Mobile Robot Feedback System to Improve the Navigation Accuracy" (2014, 2 citations), addresses a critical gap in industrial robotics: the challenge of deploying omnidirectional robots in dynamic factory environments. Tey’s major contribution lies in developing a low-cost sensor fusion approach that integrates data from multiple sensors to enhance feedback system stability, enabling more reliable robot navigation under real-world conditions. This work is notable for its practical orientation, targeting the underutilization of omnidirectional robots in industry. Though his citation count is modest, Tey’s research highlights the importance of cost-effective solutions for autonomous systems, offering valuable insights for students and engineers working on mobile robotics, sensor integration, and industrial automation. His efforts underscore the potential for affordable technology to bridge the gap between laboratory research and real-world application.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Low Cost Sensor Data Fusion in Omnidirectional Mobile Robot Feedback System to Improve the Navigation Accuracy
2 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Thomas More Universitas

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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