Tommy Hu

University of Hong Kong

Papers

2

Total Citations

35

H-Index

2

About

Tommy Hu is a robotics researcher whose work focuses on autonomous manipulation and warehouse automation. His major contribution is the development of **DoraPicker**, an autonomous picking system designed to handle general objects in e-commerce and logistics environments. This system addresses a critical challenge in robotics: enabling robots to reliably pick and place a wide variety of items without human intervention. By demonstrating a practical solution for general object manipulation, Hu’s work has the potential to significantly shorten package delivery times and improve warehouse efficiency. His most-cited paper on DoraPicker has accumulated **31 citations**, reflecting its relevance in the field of industrial robotics and autonomous systems. Hu’s research sits at the intersection of computer vision, grasping algorithms, and robotic control, aiming to bridge the gap between laboratory prototypes and real-world deployment. His contributions are particularly notable for their focus on scalability and robustness, key factors for commercial adoption in the rapidly growing e-commerce sector.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
DoraPicker: An autonomous picking system for general objects
31 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Hong Kong

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago