Apidet Booranawong

Prince of Songkla University

Papers

4

Total Citations

38

H-Index

4

About

Apidet Booranawong is a researcher whose work spans wireless sensing, soft robotics, and human-robot interaction, with a particular focus on developing practical systems that bridge engineering innovation and real-world application. His most cited contribution, a 2022 study on real-time indoor target tracking using RSSI signals in hospital environments (22 citations), demonstrates his commitment to deploying intelligent sensing solutions in healthcare settings. Building on an interdisciplinary foundation, Booranawong has made notable strides in soft actuator design, proposing an optimized soft bellow actuator using Box-Behnken response surface methodology to address longstanding challenges such as complex fabrication and insufficient grasping force. His more recent work ventures into biomedical human-robot interaction, where he has developed systems for estimating human force from surface electromyography (sEMG) signals using Gaussian Process Regression and diverse regression models — research with direct implications for rehabilitation engineering and prosthetics. Collectively accumulating nearly 40 citations across just a few years, his portfolio reflects a productive, application-driven research trajectory that positions him as an emerging contributor at the intersection of robotics, sensing technology, and assistive healthcare systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
38
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Prince of Songkla University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago