Seung‐Tae Hong

University of Toronto

Papers

1

Total Citations

23

H-Index

1

About

Seung-Tae Hong is a leading researcher in human-robot interaction and autonomous robotics, with a focus on enabling robots to operate intelligently within human-centered environments. His most cited work, "Person Finding: An Autonomous Robot Search Method for Finding Multiple Dynamic Users in Human-Centered Environments" (2019, 23 citations), introduces a novel approach for social robots to locate and engage with multiple moving users across complex, multi-room spaces. This contribution is pivotal for advancing real-world human-robot interaction scenarios, where robots must autonomously track and interact with dynamic groups rather than static individuals. Hong’s research addresses a critical gap in robotic search strategies, emphasizing adaptability and efficiency in unpredictable settings. His work has been recognized for its practical implications in assistive robotics, smart homes, and service automation, laying groundwork for more responsive and socially aware machines. By tackling the challenge of multi-user detection and pursuit, Hong has helped shape the future of autonomous systems that seamlessly integrate into daily human life, making him a notable figure in the field of interactive robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
23
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Person Finding: An Autonomous Robot Search Method for Finding Multiple Dynamic Users in Human-Centered Environments
23 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago