CRI: STAIR the Stanford AI Robot Project

该项目试图打破移动操作的极高进入门槛，旨在将人工智能所有领域的方法集成到机器人平台中，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）。该项目设想制造一种可以在家庭和办公室环境中导航的机器人，它可以拾取物体和工具并与之交互，还可以在这些环境中智能地与人交谈并提供帮助。从长远来看，单个机器人将执行以下任务：-根据口头请求从办公室取书或取人。-聚会后整理房间，包括收拾和扔掉垃圾，把脏盘子和玻璃杯放进洗碗机。-使用多种必要的工具来组装，比如一个书架。-带领客人参观一个活跃的研究实验室（每天都有变化），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，并在从老年人护理到机械车间助理等领域具有重要应用。为了实现这一愿景，pi开展了一个关于学习、操作、感知、口语对话和推理的综合研究项目，所有这些都应用于STAIR（斯坦福人工智能机器人）。提出的计算平台将为开发机器学习、视觉、导航、操作、规划、推理和NLP提供统一的测试平台。更广泛的影响：应用程序（机器人执行家庭和办公室任务）本身显示出广泛的影响。此外，STAIR项目将用于培训更多的研究生和本科生。目前正在开发一门课程，让学生参与团队活动。正在积极寻找女性和代表性不足的学生。

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.