Chemical technology
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Chemical technology in robotics and AI refers to the integration of chemical principles, materials, and processes into the design and operation of intelligent systems. This broad field spans multiple applications, from smart materials used in actuators and soft robotics to automated chemical synthesis platforms guided by machine learning. In robotics, chemical technology enables the creation of novel functional materials — such as self-healing hydrogel actuators that can regenerate after physical damage — allowing robots to exhibit greater resilience and adaptability. In AI-driven systems, it powers unmanned synthesis platforms that leverage data-driven models to plan and execute complex chemical reactions with minimal human intervention, accelerating drug discovery and materials development. Solid-phase reagent delivery platforms, like ChemBeads, further illustrate how chemical engineering innovations enable miniaturized, automated workflows. Collectively, chemical technology matters because it expands the physical and functional capabilities of robotic systems, bridges chemistry with automation, and enables scalable, precise manufacturing and research processes that were previously impractical or impossible without human expertise.
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Interfacial Reinitiation of Free Radicals Enables the Regeneration of Broken Polymeric Hydrogel Actuators
Baoyi Wu, Huanhuan Lu, Yukun Jian, Dachuan Zhang, Peng Yu, Jie Zhuo, Xiaoxia Le, Jiawei Zhang, Patrick Théato, Tao Chen
Citations: 31 • 2022
Machine Learning in Unmanned Systems for Chemical Synthesis
Guoqiang Wang, Xuefei Wu, Bo Xin, Xu Gu, Gaobo Wang, Yong Zhang, Jiabao Zhao, Xu Cheng, Chunlin Chen, Jing Ma
Citations: 7 • 2023
Stick to the beads: supercharging medicinal chemistry and methodology development with ChemBeads
Noah P. Tu, Ying Wang
Citations: 1 • 2025