Weihao Zeng

National Yang Ming Chiao Tung University, Dalian University of Technology

Papers

Total Citations

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About

Weihao Zeng is a researcher at the forefront of robotics and human-computer interaction, whose work bridges the critical gap between simulation and real-world application. His primary research areas include sim-to-real transfer for robotic manipulation and user-centered interface design for human-robot collaboration. In his highly cited 2023 work, "Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation," Zeng tackles a fundamental challenge in ubiquitous robotics: enabling robots to visually learn and understand objects through rich, dense descriptors while successfully transferring these skills from simulation to reality. This work has garnered 2 citations, establishing a foundation for more robust vision-based manipulation. Complementing this technical focus, his 2024 study, "Research on Human-Computer Interaction Interface Design Based on User Experience," shifts the paradigm from purely technical solutions to human-centric design. By introducing the UX design cycle into human-robot collaboration environments, Zeng optimizes assisted task execution, ensuring that robotic systems are not only capable but also intuitive and effective for human partners. Through these dual contributions, Weihao Zeng is shaping a future where robots are both more perceptive and more seamlessly integrated into human workflows.