Center for Artificial Intelligence and Robotics (CAIR), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
CREATE Lab, Institute of Mechanical Engineering, EPFL, Lausanne, Switzerland.
Bioinspir Biomim. 2024 Feb 27;19(2). doi: 10.1088/1748-3190/ad2084.
Agricultural tasks and environments range from harsh field conditions with semi-structured produce or animals, through to post-processing tasks in food-processing environments. From farm to fork, the development and application of soft robotics offers a plethora of potential uses. Robust yet compliant interactions between farm produce and machines will enable new capabilities and optimize existing processes. There is also an opportunity to explore how modeling tools used in soft robotics can be applied to improve our representation and understanding of the soft and compliant structures common in agriculture. In this review, we seek to highlight the potential for soft robotics technologies within the food system, and also the unique challenges that must be addressed when developing soft robotics systems for this problem domain. We conclude with an outlook on potential directions for meaningful and sustainable impact, and also how our outlook on both soft robotics and agriculture must evolve in order to achieve the required paradigm shift.
农业任务和环境范围广泛，从具有半结构化农产品或动物的恶劣田间条件，到食品加工环境中的后处理任务。从农场到餐桌，软机器人技术的发展和应用提供了大量潜在的用途。农产品与机器之间坚固而又顺应的相互作用将实现新的功能并优化现有流程。也有机会探索在软机器人中使用的建模工具如何应用于改善我们对农业中常见的柔软和顺应结构的表示和理解。在这篇综述中，我们旨在强调软机器人技术在食品系统中的潜力，以及在为这个问题领域开发软机器人系统时必须解决的独特挑战。我们最后展望了实现有意义和可持续影响的潜在方向，以及为了实现所需的范式转变，我们对软机器人和农业的看法必须如何演变。
