Jhing-Fa Wang
Papers
2
Total Citations
14
H-Index
1
About
Jhing-Fa Wang is a pioneering researcher whose work sits at the intersection of artificial intelligence, cloud computing, and human-robot interaction, with a particular focus on assistive technologies for senior citizens. His most notable contribution is the development of the Senior Companion Robot System (SCRS), a cloud-based infrastructure that enables robots to provide intelligent, responsive companionship to the elderly. This work, published in 2011, has garnered 13 citations and laid the groundwork for scalable, cloud-powered robotic assistance. More recently, Wang has advanced the field by integrating large language models into service robotics. In 2024, he developed a customer service robot for Tainan Spinning Mall, powered by the Llama3 model and fine-tuned using PEFT methods like LoRA on an NVIDIA L4 GPU. This system, which also employs Retrieval-Augmented Generation (RAG), demonstrates how resource-constrained hardware can still support sophisticated conversational AI. Wang’s research consistently bridges theoretical innovation with real-world deployment, making him a key figure in the evolution of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 2