机器人
计算机科学
具身认知
人机交互
集合(抽象数据类型)
人工智能
仿生学
神经科学
机器人学
仿人机器人
协议(科学)
智能决策支持系统
维数(图论)
离体
微型加热器
胃肠道
作者
Huyue Chen,Xurui Liu,J X,Yu Zhao,Chaoyu Yang,Kai Fung Chan,PWY Chiu,Lei Shao,Wenming Zhang,Li Zhang,Qiguang He,Metin Sitti
标识
DOI:10.1073/pnas.2605060123
摘要
Miniaturized medical robots offer a promising solution for minimally invasive measurements and interventions in the gastrointestinal (GI) tract. Clinical assessment of GI disorders is commonly guided by threshold-based physiological indicators, including pressure, temperature, and pH, which motivate event-triggered strategies for personalized medicine. However, identifying homeostatic dysregulation and enabling in-situ therapy remains challenging, because ingestible robotic systems must tightly integrate sensing, decision-making, and actuation under severe constraints of size, power, and biosafety. Inspired by the autonomy of microorganisms that operate without neural processing, this work introduces physically intelligent capsule robots (PI Capbots) that enable homeostatic monitoring and targeted delivery within the GI tract, without relying on centralized electronic control. Through embodied stimuli-responsive memory and logic, PI Capbots effectively distill rich, detailed, and redundant physiological information into a small set of decoupled and event-triggered outputs suitable for operations in in vivo environments. In each PI Capbot, multistable metamaterials encode intraluminal pressure as mechanical memory, programmable hydrogels implement orthogonal sensing and logic operations, and helical fibers enable multimodal locomotion. Ex vivo and in vivo studies in large animal models demonstrate the efficacy, robustness, and reproducibility of PI Capbots, highlighting its potential for their translational medical applications.
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