Zhao Quan Hew

Monash University

Papers

1

Total Citations

3

H-Index

1

About

Zhao Quan Hew is a robotics researcher whose work centers on human-robot interaction, with a particular focus on autonomous person-following systems for service robots. His most-cited paper, "Autonomous Person-Specific Following Robot" (2020), addresses a critical gap in collaborative robotics: most person-following robots track individuals without recognizing who they are following. Hew’s key contribution lies in developing an identity-specific person tracker, enabling robots to distinguish and follow a particular user in dynamic environments. This innovation enhances the practicality of service robots in applications like healthcare, elderly assistance, and personal companionship. With 3 citations, the work has laid foundational groundwork for more intelligent, context-aware robotic systems. Hew’s research demonstrates a commitment to bridging perception and action in robotics, making human-robot collaboration safer and more intuitive. His achievements highlight the importance of identity-aware tracking in advancing autonomous systems, and his work continues to inspire further exploration into personalized robotic assistance.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Person-Specific Following Robot
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Monash University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago