Tong Boon Tang
Papers
6
Total Citations
85
H-Index
4
About
Tong Boon Tang is a leading researcher at the intersection of robotics, artificial intelligence, and biomedical engineering, with a focus on autonomous navigation and medical image analysis. His most impactful work centers on developing deep reinforcement learning (DRL) architectures for tracked robots, enabling collision-free autonomous steering in dynamic environments. His 2020 paper on vision-based navigation using DRL (28 citations) introduced a novel end-to-end network that significantly improved real-time decision-making, while his 2019 overview of DRL for visual navigation (13 citations) has become a key reference in the field. Tang also made notable contributions to medical imaging, particularly with his 2021 work on automatic polyp segmentation in colonoscopy images (17 citations), which employed a modified deep convolutional encoder-decoder architecture to enhance colorectal cancer screening efficiency. Earlier in his career, he demonstrated pioneering work in microelectromechanical systems (MEMS), developing a wireless-driven pond skater robot using electrowetting-on-dielectric (EWOD) technology (23 citations). With over 85 total citations across his most-cited papers, Tang’s research bridges robotics, AI, and healthcare, offering practical solutions for autonomous systems and clinical diagnostics.
Research Focus
Key Achievements
Top Papers
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- 4Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview13 citations · 2019
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- 6Wireless driven EWOD technology for a MEMS pond skater2 citations · 2008