Li Jianye, Wang Hao, Luo Yibing, Zhou Zijing, Zhang He, Chen Huizhi, Tao Kai, Liu Chuan, Zeng Lingxing, Huo Fengwei, Wu Jin
State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
State Key Laboratory of Transducer Technology, Shanghai, 200050, People's Republic of China.
Nanomicro Lett. 2024 Jul 29;16(1):256. doi: 10.1007/s40820-024-01466-6.
Post-earthquake rescue missions are full of challenges due to the unstable structure of ruins and successive aftershocks. Most of the current rescue robots lack the ability to interact with environments, leading to low rescue efficiency. The multimodal electronic skin (e-skin) proposed not only reproduces the pressure, temperature, and humidity sensing capabilities of natural skin but also develops sensing functions beyond it-perceiving object proximity and NO gas. Its multilayer stacked structure based on Ecoflex and organohydrogel endows the e-skin with mechanical properties similar to natural skin. Rescue robots integrated with multimodal e-skin and artificial intelligence (AI) algorithms show strong environmental perception capabilities and can accurately distinguish objects and identify human limbs through grasping, laying the foundation for automated post-earthquake rescue. Besides, the combination of e-skin and NO wireless alarm circuits allows robots to sense toxic gases in the environment in real time, thereby adopting appropriate measures to protect trapped people from the toxic environment. Multimodal e-skin powered by AI algorithms and hardware circuits exhibits powerful environmental perception and information processing capabilities, which, as an interface for interaction with the physical world, dramatically expands intelligent robots' application scenarios.
由于废墟结构不稳定以及余震不断，地震后的救援任务充满挑战。目前大多数救援机器人缺乏与环境交互的能力，导致救援效率低下。所提出的多模态电子皮肤（e-skin）不仅再现了天然皮肤的压力、温度和湿度传感能力，还开发了超越天然皮肤的传感功能——感知物体接近度和一氧化氮气体。其基于Ecoflex和有机水凝胶的多层堆叠结构赋予了电子皮肤与天然皮肤相似的机械性能。集成了多模态电子皮肤和人工智能（AI）算法的救援机器人展现出强大的环境感知能力，并且能够通过抓取准确区分物体并识别人类肢体，为地震后自动救援奠定了基础。此外，电子皮肤与一氧化氮无线报警电路的结合使机器人能够实时感知环境中的有毒气体，从而采取适当措施保护被困人员免受有毒环境的侵害。由人工智能算法和硬件电路驱动的多模态电子皮肤展现出强大的环境感知和信息处理能力，作为与物理世界交互的接口，极大地扩展了智能机器人的应用场景。
