Fu Weiping Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Fu Weiping's research investigates the integration of advanced computational techniques with practical applications in robotics and human-robot collaboration. Recent work includes developing methods for enhancing intention prediction and interpretability in service robots through the use of Large Language Models (LLMs) and Knowledge Graphs (KGs). Additionally, Fu's research has explored the prediction of assembly intent for human-robot collaboration by analyzing video data and employing Hidden Markov Models. This work aims to improve the efficiency and safety of collaborative robotic systems.
Prior to this, Fu's research extended to health sciences, examining the impact of weight loss in infertile women undergoing in vitro fertilization. Fu also has a publication on compact busbar design strategies for high-frequency power converters, indicating a background in electrical engineering and power electronics. Fu's scholarly output includes 27 publications with an h-index of 5 and 43 citations. Key collaborators include Yuxiang Chen, Liyang Du, and S. K. Deb, all from the University of Arkansas at Fayetteville.
Metrics
- h-index: 5
- Publications: 27
- Citations: 43
Selected Publications
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Compact Busbar Design Strategy for a 100 kW, 300 kHz Dual Active Bridge Converter Topology (2025)
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- The impact of weight loss for obese infertile women prior to in vitro fertilization: A retrospective cohort study
- The impact of weight loss for obese infertile women prior to in vitro fertilization: A retrospective cohort study
- The impact of weight loss for obese infertile women prior to in vitro fertilization: A retrospective cohort study
- The impact of weight loss for obese infertile women prior to in vitro fertilization: A retrospective cohort study
- Enhancing intention prediction and interpretability in service robots with LLM and KG
- Enhancing intention prediction and interpretability in service robots with LLM and KG
- Enhancing intention prediction and interpretability in service robots with LLM and KG
- Enhancing intention prediction and interpretability in service robots with LLM and KG
- Prediction of Assembly Intent for Human-Robot Collaboration Based on Video Analytics and Hidden Markov Model
- Prediction of Assembly Intent for Human-Robot Collaboration Based on Video Analytics and Hidden Markov Model
- Prediction of Assembly Intent for Human-Robot Collaboration Based on Video Analytics and Hidden Markov Model
- Prediction of Assembly Intent for Human-Robot Collaboration Based on Video Analytics and Hidden Markov Model
- Compact Busbar Design Strategy for a 100 kW, 300 kHz Dual Active Bridge Converter Topology
- Compact Busbar Design Strategy for a 100 kW, 300 kHz Dual Active Bridge Converter Topology
- Compact Busbar Design Strategy for a 100 kW, 300 kHz Dual Active Bridge Converter Topology
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