Xihao Wang

Technical University of Munich

Papers

1

Total Citations

10

H-Index

1

About

Xihao Wang has established himself as a leading voice in Human-Robot Interaction (HRI), with a particular focus on creating more natural and intuitive communication between humans and machines. His seminal review, "Hand and Arm Gesture-based Human-Robot Interaction: A Review" (2022), which has garnered 10 citations, provides a comprehensive framework for understanding how nonverbal cues—particularly hand and arm gestures—can bridge the gap between human intent and robotic response. Wang's work critically examines the challenges and opportunities in building truly human-centric HRI systems, emphasizing that successful interaction requires moving beyond simple verbal commands to incorporate the rich vocabulary of human body language. His research has significant implications for fields ranging from manufacturing to assistive robotics, where seamless collaboration depends on robots' ability to interpret and respond to natural human gestures. By systematically categorizing gesture-based interaction methods and identifying key technical hurdles, Wang has provided both a roadmap for future research and a foundational reference for engineers designing next-generation collaborative robots. His contributions are helping to shape a future where human-robot communication feels as effortless as human-human interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Hand and Arm Gesture-based Human-Robot Interaction: A Review
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago