Papers

2

Total Citations

12

H-Index

2

About

Zhengyang He is a rising scholar at the intersection of robotics, human-robot interaction, and cognitive engineering. He is best known for his pioneering work on anthropomorphism in robotics, particularly his 2025 paper "From Perception to Trust: The Multidimensional Landscape of Anthropomorphism in Robotics," which has already garnered 10 citations—a strong early impact indicator. This work systematically maps how human perceptions of robot human-likeness influence trust, offering a multidimensional framework that is shaping both design and ethical considerations in social robotics. He also contributed foundational work in industrial robotics with his 2022 study on six-degree-of-freedom trajectory planning using MATLAB, which provided accessible, practical methods for optimizing KUKA robot efficiency. By bridging theoretical insights into anthropomorphism with hands-on trajectory optimization, He’s research speaks to both the cognitive and mechanical dimensions of robotics. His trajectory from industrial robot kinematics to the psychology of trust reflects a rare breadth, positioning him as a versatile contributor to the next generation of intelligent, human-aware robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
From Perception to Trust: The Multidimensional Landscape of Anthropomorphism in Robotics
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shaanxi University of Science and Technology, Sichuan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago