Yuwei Zhang

Papers

Total Citations

H-Index

About

Yuwei Zhang is a researcher at the forefront of autonomous and social robotics, with a focus on developing software systems that enable robots to interact intelligently with humans and their environments. Their most-cited work, "Software Development for Autonomous and Social Robotics Systems" (2018, 9 citations), lays foundational principles for creating robust, adaptive software architectures that integrate perception, decision-making, and social behavior. This contribution is particularly notable for bridging the gap between theoretical robotics and practical, deployable systems—a critical step for advancing human-robot collaboration in real-world settings. Zhang’s research emphasizes modularity and scalability, allowing robots to learn from social cues and operate autonomously in dynamic spaces. While their citation count reflects a growing recognition in the field, their work has already influenced early-stage robotics curricula and open-source software frameworks. By prioritizing both technical rigor and social relevance, Zhang is shaping how next-generation robots are designed to be not just functional, but also socially aware—a key challenge for the future of interactive AI.