Huaijiang Zhu

New York University, Technical University of Munich

Papers

Total Citations

H-Index

About

Huaijiang Zhu is a robotics researcher whose work bridges autonomous systems, human-robot collaboration, and edge computing. His key contributions focus on enabling robots to operate more intelligently and intuitively alongside humans, particularly in real-world settings. In his highly cited 2020 paper, "Enabling Remote Whole-Body Control with 5G Edge Computing" (12 citations), Zhu demonstrated how offloading computationally intensive tasks—including low-level whole-body control—to 5G edge servers can reduce onboard energy demands while maintaining autonomy, a breakthrough for lightweight, fully autonomous robots. Earlier, his 2017 work "Legible action selection in human-robot collaboration" (8 citations) tackled a core challenge in HRC: making robot actions clearly communicate task goals to human partners, reducing errors in multi-task environments. This research has implications for manufacturing, healthcare, and service robotics, where seamless human-robot teamwork is critical. Zhu’s work is notable for its practical focus on real-world deployment, combining theoretical advances in control and planning with cutting-edge networking technologies. His research continues to shape how robots can become more capable, efficient, and trustworthy collaborators in dynamic human environments.