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About

Haozhe Wang is an emerging interdisciplinary researcher working at the dynamic intersection of soft robotics, advanced materials, and robotic perception. His work spans two compelling frontiers: the development of intelligent soft actuators using cutting-edge nanomaterials, and the advancement of vision-based robotic manipulation systems. In the realm of soft robotics, Wang has made notable contributions through his investigation of MXene-based composites — particularly 2D titanium carbides — exploring how surface termination engineering and aerosol jet printing techniques can unlock multi-stimulus actuation capabilities for next-generation flexible microrobots. These efforts push the boundaries of scalable, designable soft robotic fabrication. Simultaneously, his work on PEGG-Net demonstrates a strong command of computer vision and deep learning, proposing pixel-wise efficient grasp generation architectures capable of handling the challenging complexity of cluttered real-world scenes. Though early in his publication trajectory, Wang's research has already attracted citations across robotics and materials science communities, reflecting the cross-disciplinary relevance of his contributions. His profile suggests a researcher poised to bridge the gap between intelligent materials and autonomous robotic systems in meaningful ways.