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About

Yitao Jiang is a robotics researcher whose work spans modular self-assembly, soft robotics, and autonomous maritime perception. His key contributions lie in developing reconfigurable robotic systems that combine structural intelligence with practical deployability. In his most-cited work, "Modular shape-changing tensegrity-blocks enable self-assembling robotic structures" (14 citations), Jiang introduces a novel paradigm where tensegrity-based modules can autonomously reconfigure into functional lattice structures, bridging the gap between locomotion and construction in modular robotics. He further advances soft robotics with "SoftSnap: Rapid Prototyping of Untethered Soft Robots Using Snap-Together Modules" (4 citations), a method that dramatically accelerates the design-to-prototype cycle for soft robots with diverse deformation modes. Demonstrating versatility, Jiang also contributes to maritime autonomy with "SeePerSea" (4 citations), the first publicly available multimodal perception dataset for in-water obstacle detection by autonomous surface vehicles, collected over four years. His bioinspired "Untethered Bioinspired Robotic Tensegrity Dolphin" (3 citations) showcases a minimalist, cable-driven approach to aquatic locomotion, mimicking dolphin flexibility with only two degrees of freedom. With all major works published in 2025, Jiang is establishing a distinctive research identity at the intersection of tensegrity structures, soft robotics, and autonomous systems.