Academic Journal

Self‐Sensing Robotic Structures from Architectured Particle Assemblies

التفاصيل البيبلوغرافية
العنوان: Self‐Sensing Robotic Structures from Architectured Particle Assemblies
المؤلفون: Yang, Xudong, Wang, Zongzheng, Zhang, Bojian, Chen, Tianyu, Linghu, Changhong, Wu, Kunlin, Wang, Guohui, Wang, Hailu, Wang, Yifan
المساهمون: Nanyang Technological University
المصدر: Advanced Intelligent Systems ; volume 5, issue 1 ; ISSN 2640-4567 2640-4567
بيانات النشر: Wiley
سنة النشر: 2022
المجموعة: Wiley Online Library (Open Access Articles via Crossref)
الوصف: The tight coupling of shape transformation, stiffness tuning, and self‐sensing that biological organisms exhibit has long served as inspiration for next‐generation soft robots. However, most current soft robots rely on intrinsically soft materials for actuation, separately embedded sensors for sensing, and have fixed stiffness once fabricated. Large gaps remain between these soft robots and biological organisms where multifunctionality is realized within an integrated body. Herein, a new class of robotic structures from architectured particle assemblies is introduced. They combine three functions: shape changing, stiffness variation, and self‐sensing into one monolithic structure. Unlike traditional entirely soft robots, the design utilizes the geometric contacts of stiff, architectured particles under confining pressure to achieve these functions. The applications of these structures by designing smart self‐sensing architectures and soft grippers are demonstrated. The design provides a new paradigm of multifunctional robotic structures, with potential multiscale applications in adaptive robots, smart devices, and reconfigurable architectures.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1002/aisy.202200250
الاتاحة: https://doi.org/10.1002/aisy.202200250
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202200250
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/aisy.202200250
Rights: http://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.25F232C9
قاعدة البيانات: BASE