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
Top Papers
- 1
- 2Six-degree-of-freedom Robot Trajectory Planning Based on MATLAB2 citations · 2022