We envision next-generation imaging systems that extend quantitative measurements beyond the laboratory into large-scale, dynamic environments. By combining computer vision, autonomous robotic platforms, and multimodal optical sensing, including visible, hyperspectral, and infrared imaging, we develop scalable systems for resolving three-dimensional motion, deformation, flow fields, and spatially distributed environmental properties across multiple length and time scales. These systems provide new opportunities to investigate environmental transport, fluid dynamics, autonomous systems, and complex physical phenomena in previously inaccessible settings.
We envision a new generation of aerial soft electronic systems that transform atmospheric monitoring through distributed, flow-driven sensing. Inspired by passive dispersal mechanisms found in nature, we engineer ultraminiaturized, biodegradable platforms that travel with ambient air currents in the Lagrangian frame. By integrating soft materials, multimodal sensing, and wireless or optical communication, these systems enable scalable environmental observation, autonomous atmospheric sensing, and physically intelligent interactions with complex aerial environments.
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We envision adaptive flow control systems that dynamically regulate fluid environments through intelligent interactions between programmable structures and surrounding flows. By integrating shape-morphing materials, distributed sensing, mechanics-driven actuation, and fluid-structure interactions, we develop responsive systems capable of manipulating aerodynamic performance, wake dynamics, and transport phenomena in real time. These technologies establish new opportunities for energy-efficient flight, autonomous aerospace systems, and next-generation adaptive vehicles.