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About

Annan Zhang is a robotics researcher whose work sits at the intersection of soft robotics, multifunctional materials, and robot perception. His research focuses on designing and controlling soft and hybrid soft-rigid robotic systems, with particular emphasis on novel sensing strategies and fabrication methods that push beyond the limitations of conventional approaches. Zhang's most influential contribution, "Fluidic Innervation Sensorizes Structures from a Single Build Material" (2022, 60 citations), introduced a groundbreaking method for embedding distributed sensing directly into architected materials, enabling programmable mechanical properties and rich sensory feedback from a single fabrication process. This work has become a touchstone for researchers developing next-generation smart structures. Complementing this, his vision-based and machine learning-driven approaches to soft robot proprioception have helped establish systematic best practices for a field still maturing in its sensing infrastructure. Zhang also contributes to motion planning for rigid manipulators, exploring certified collision-free configuration space regions, and to multimodal robotic manipulation, demonstrated through a soft gripper that integrates vision, tactile sensing, and proprioception for real-world grocery packing. With over 150 cumulative citations and multiple papers published in a single year, Zhang has rapidly established himself as a versatile and impactful voice in modern robotics research.