Shih-Pang Tseng
Papers
7
Total Citations
104
H-Index
5
About
Shih-Pang Tseng is a leading researcher at the intersection of artificial intelligence, robotics, and healthcare automation. His work focuses on developing intelligent robotic systems that enhance medical services and assistive care, with particular emphasis on natural language processing for clinical applications and autonomous navigation for service robots. Tseng’s most impactful contribution is his 2020 paper on outpatient text classification using attention-based bidirectional LSTM for robot-assisted hospital servicing, which has garnered 72 citations and addresses the critical problem of patient misdirection in hospital registration systems. His research portfolio spans multiple innovative domains: implementing RGBD and VSLAM-based autonomous mobile robots (AMR), designing human-following omnidirectional systems for smart home robots, and developing automatic prescription recognition systems for pharmacy robotics. Tseng has also contributed to fuzzy logic-based obstacle avoidance for service robots and sentence similarity matching for intelligent pharmacy systems on Zenbo robots. His recent work on discrete hidden Markov models for domiciliary human activity perception demonstrates his ongoing commitment to advancing smart elderly care technologies. Through these diverse contributions, Tseng has established himself as a key innovator in creating practical, AI-driven robotic solutions that improve healthcare delivery and quality of life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and Implementation of AMR Robot Based on RGBD, VSLAM and SLAM9 citations · 2021
- 3
- 4Automatic Prescription Recognition System6 citations · 2018
- 5Fuzzy Obstacle Avoidance for the Mobile System of Service Robots5 citations · 2020
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- 7