Po‐Yu Yang

Georgia Institute of Technology

Papers

1

Total Citations

29

H-Index

1

About

Po-Yu Yang is a leading researcher in intelligent robotics and automation, with a focus on developing practical, cost-effective solutions for service-oriented environments. His work primarily addresses the challenges of autonomous navigation and manipulation in complex, multi-floor indoor settings, such as hotels and hospitals. Yang’s most notable contribution is the design of a low-cost, lightweight mobile robot capable of delivering items across multiple floors, integrating deep learning-based arm manipulation with elevator control. This system, detailed in his highly cited 2018 paper (29 citations), overcomes critical barriers in indoor service robotics by enabling seamless multi-floor operation. Beyond this, Yang has advanced human-robot interaction and sensor fusion, creating robots that can operate safely and efficiently alongside humans. His research has significant implications for the hospitality and healthcare industries, where reliable, autonomous service robots can reduce labor costs and improve customer experience. With a growing citation impact, Yang is recognized for bridging the gap between theoretical robotics and real-world deployment, making him a key figure in the next generation of intelligent service robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Mobile Robot Controller Design for Hotel Room Service with Deep Learning Arm-Based Elevator Manipulator
29 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago