Haojie Du

Papers

Total Citations

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About

Haojie Du is a researcher advancing the frontiers of intelligent robotics and human-robot interaction, with a focus on dexterous manipulation and automated logistics. His work bridges biomechanical sensing and robotic control, notably through a hybrid system that fuses Surface Electromyography (SEMG) with Kinect vision to capture and recognize human in-hand motions. This adaptive directed acyclic graph approach enables more natural, human-like control of multi-fingered robotic hands, a critical step toward sophisticated prosthetic and assistive technologies. In parallel, Du has contributed to the automation of logistics by designing an RFID-based weight sorting and transportation robot, establishing its kinematic and dynamic models to improve sorting efficiency and reduce operational costs. Though early in his career, his papers have already garnered citations, reflecting growing interest in his integrated sensing and control methodologies. Du’s work stands at the intersection of wearable sensors, machine learning, and robotic design, offering practical solutions for both industrial automation and human augmentation. His research promises to make robots more responsive and intuitive, directly impacting fields from manufacturing to rehabilitation.