CRI: STAIR the Stanford AI Robot Project

这个项目试图打破进入移动操作的非常高的障碍，旨在将来自人工智能所有领域的方法整合到一个机器人平台中，包括机器学习、视觉、导航、操作、规划、推理和语音/自然语言处理(NLP)。该项目考虑建造一种机器人，它可以在家庭和办公室环境中导航，可以拾取物体和工具并与之互动，可以在这些环境中智能地与人交谈并帮助人们。从长远来看，一个机器人将执行以下任务：-响应口头请求，从办公室拿一本书或一个人。-聚会后整理空间，包括捡垃圾和扔掉垃圾，将脏盘子和玻璃杯放进洗碗机。-使用多种必要工具来组装书架。-带客人参观活跃的研究实验室(每天都会发生变化)，回答问题，并跟踪整个团队。能够完成这些任务的机器人将彻底改变家庭和办公室自动化，并有从老年护理到机器商店助理的重要应用。为了实现这一愿景，PI开展了一项关于学习、操作、感知、口语对话和推理的综合研究计划，所有这些都是在将它们应用于STAIR(斯坦福人工智能机器人)的背景下进行的。拟议的计算平台将为开发机器学习、视觉、导航、操纵、规划、推理和NLP提供统一的试验台。Broader Impact：应用程序(执行家庭和办公室任务的机器人)本身表现出广泛的影响。此外，楼梯项目将用于培养更多的研究生和本科生。正在开发一门课程，让学生参与团队活动。女性和代表性不足的学生正在被积极寻找。

This project, trying to break the very high barrier to entry of mobile manipulation, aims at integrating in a robot platform methods drawn from all areas of AI, including machine learning, vision, navigation, manipulation, planning, reasoning, and speech/natural language processing (NLP). The project contemplates building a robot that can navigate home and office environments, that can pick up and interact with objects and tools, and that can intelligently converse with and help people in these environments. Over the long tern, a single robot will perform such tasks as:-Fetching a book or a person from an office, in response to a verbal request.-Tidying up a space after a party, including picking up and throwing away trash, and placing dirty dishes, and glasses in the dishwasher.-Using multiple tools necessary to assemble, say, a bookshelf.-Showing guest around an active research lab (where things change daily), answering questions, and keeping track of an entire group.A robot capable of these tasks will revolutionize home and office automation and have important applications ranging from elderly care to machine shop assistants. To realize this vision, the PIs carry out an integrated research program on learning, manipulation, perception, spoken dialog, and reasoning, all in the context of applying them to STAIR (Stanford AI Robot). The proposed computing platform would provide a unified testbed for developing machine learning, vision, navigation, manipulation, planning, reasoning, and NLP.Broader Impact: The application (robots performing tasks for home and office) itself exhibits broad impact. Additionally, the STAIR project will be used to train more graduate and undergraduate students. A course is being developed exposing students to participate in teams. Women and underrepresented students are actively being sought.