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About

Zhitian Zhang is a robotics researcher whose work sits at the intersection of computer vision, human-robot interaction, and affective computing. Their most impactful contribution, "Image-based onsite object recognition for automatic crane lifting tasks" (41 citations), demonstrates a practical application of computer vision in construction robotics, enabling safer and more efficient heavy-lifting operations. Zhang has also made significant strides in understanding human intent for safer robot navigation, developing a multimodal and hybrid framework that integrates motion trajectory, gestures, and environmental context to infer human navigational intent—work that addresses a critical gap in socially-aware robotics. Their research into positive psychology principles in affective robotics (7 citations) is particularly notable, exploring how robots can actively promote positive moods and social bonding in collaborative human groups through a carefully designed between-subject experiment. Zhang’s contributions to open science include the SFU-store-nav dataset, a valuable multimodal resource for studying indoor human navigation. With a research portfolio that bridges technical innovation and human-centered design, Zhang is advancing the development of robots that are not only functionally capable but also emotionally intelligent and socially fluent.