Smart Sensors for Soft Robotics

与谢菲尔德大学和约克大学在联盟国际催化剂资助下建立的新合作伙伴关系的目标是将先进的传感器技术(谢布鲁克大学、谢菲尔德大学)与新的模型和计算方法(约克大学)结合起来，为下一代软机器人开发概念。例如，可以想象，更有效的软机器人设计和控制方法可能会在快速增长的协作机器人和外骨骼领域产生重要成果和影响。在新的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能力的新一代智能传感器，并结合设计具有内在非线性信息处理能力的灵活机器人机构。

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.