论文标题
Onionbot：协作计算烹饪的系统
OnionBot: A System for Collaborative Computational Cooking
论文作者
论文摘要
烹饪自动化中未解决的挑战是为共享厨房工作区设计。特别是，机器人在非结构化和动态的厨房环境中与灵巧性斗争。我们建议无需机器人操纵即可实现人机合作。我们描述了一种使用计算机视觉的新型系统设计，以告知智能烹饪干预措施。这种以人为本的方法不需要执行器，而是促进动态自然的协作。我们表明，协助用户主导的动作的自动化可以提供有意义的烹饪帮助，并可以生成未来完全自主的机器人系统所需的图像数据库。我们提供了我们工作的开源实施，并鼓励研究界以此为基础。
An unsolved challenge in cooking automation is designing for shared kitchen workspaces. In particular, robots struggle with dexterity in the unstructured and dynamic kitchen environment. We propose that human-machine collaboration can be achieved without robotic manipulation. We describe a novel system design using computer vision to inform intelligent cooking interventions. This human-centered approach does not require actuators and promotes dynamic, natural collaboration. We show that automation that assists user-led actions can offer meaningful cooking assistance and can generate the image databases needed for fully autonomous robotic systems of the future. We provide an open source implementation of our work and encourage the research community to build upon it.
