Smart Sensors for Soft Robotics

用于软体机器人的智能传感器

• 批准号: 579064-2022
• 负责人: Sylvestre, JulienJ
• 金额: $ 1.82万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754378
• 关键词: Smart; Sensors; Soft; Robotics

The goal of the new partnership to be established with the University of Sheffield and the University of York under an Alliance International Catalyst grant is to combine advanced sensor technology (U. of Sherbrooke, U. of Sheffield) with new models and methods of computation (U. of York) to develop concepts for next-generation soft robotics. More efficient design and control methodologies for soft robots could conceivably have important outcomes and impacts in the rapidly growing fields of collaborative robotics and exoskeletons, for instance. The most important new concept to be explored in the new partnership is the development of soft robots using a new generation of smart sensors with built-in machine learning capabilities in combination with flexible robot bodies that are designed to have intrinsic non-linear information-processing capabilities.

在国际催化剂联盟的资助下，与谢菲尔德大学和约克大学建立的新合作伙伴关系的目标是将先进的传感器技术（谢菲尔德大学、谢菲尔德大学）与新的计算模型和方法（约克大学）开发下一代软机器人概念。例如，更有效的软机器人设计和控制方法可能会在快速发展的协作机器人和外骨骼领域产生重要的成果和影响。新合作伙伴关系中要探索的最重要的新概念是开发软机器人，使用具有内置机器学习功能的新一代智能传感器，结合设计用于固有非线性信息处理的柔性机器人主体能力。