Chih‐Wei Tang

Ford Motor Company (United States)

Papers

1

Total Citations

19

H-Index

1

About

Chih-Wei Tang is a researcher whose work lies at the intersection of human-robot interaction, haptic feedback, and gesture-based teleoperation. Her most-cited paper, "Facilitating Human-Mobile Robot Communication via Haptic Feedback and Gesture Teleoperation" (2018, 19 citations), introduces a bi-directional communication scheme that enables intuitive interaction between a person and a person-following mobile robot. This work addresses critical challenges in assistive robotics, particularly for applications such as load carrying, elder care, and emotional support. By integrating haptic feedback with gesture commands, Tang’s system allows users to communicate naturally with robots without requiring specialized training or interfaces. Her contributions are especially significant for developing more accessible and responsive robotic assistants that can operate safely alongside humans. While her citation count is currently modest, the practical implications of her research—enhancing robot transparency and user trust—position her work as foundational for future advances in socially assistive robotics. Tang’s focus on bidirectional communication highlights a growing need for robots that not only follow commands but also provide intuitive feedback, making human-robot collaboration more seamless and effective in real-world settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Facilitating Human-Mobile Robot Communication via Haptic Feedback and Gesture Teleoperation
19 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ford Motor Company (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago