NRI: Considerate Co-robot Intelligence through Ubiquitous Human State Awareness

NRI：通过无处不在的人类状态意识实现体贴的协作机器人智能

• 批准号: 1427345
• 负责人: Weihua Sheng
• 金额: $ 72.5万
• 依托单位: Oklahoma State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1427345&HistoricalAwards=false
• 关键词: NRI; Considerate; Co; robot; Intelligence

This project develops a new type of social intelligence for robot companions in assisted living environments. This new intelligence allows a robot to learn a person's daily activity and location without constantly following him or her. Such a human-aware capability frees the robot to do its daily routine work, while being able to attend the human more proactively and effectively. A large population can benefit from the outcome of this project, especially the elderly and patients who need assistance and companionship in their homes. In addition, people in their work places can also benefit from this project, since robot co-workers can provide routine service and emergency assistance with such human-awareness. The proposed educational activities will raise more awareness of robot research through curriculum enrichments in a series of undergraduate and graduate courses. Through the outreach activities, it will stimulate prospective and current college students to pursue degrees and careers in science and engineering. The objective of this project is to develop the new theoretical/algorithmic framework and the open hardware/software platform for this type of considerate co-robot intelligence. The proposed method is based on ubiquitous human awareness-a robot capability of knowing a person's activity and location in an indoor environment without using onboard sensors. This capability is realized through wearable sensing and computing from a human-based perspective. The major research efforts consist of four parts: co-robot 3D semantic mapping; human activity and location inference; activity prediction and behavioral anomaly detection; experimental evaluation using open hardware/software platforms. A case study will be conducted to evaluate the effectiveness of the proposed considerate co-robot intelligence in elderly fall prevention, detection and intervention.

该项目为辅助生活环境中的机器人伴侣开发了一种新型社交智能。 这种新的智能使机器人能够了解人的日常活动和位置，而无需持续跟踪他或她。 这种人类感知能力使机器人能够自由地完成日常工作，同时能够更主动、更有效地照顾人类。 大量人口可以从该项目的成果中受益，尤其是需要在家中帮助和陪伴的老年人和患者。 此外，工作场所的人们也可以从这个项目中受益，因为机器人同事可以以人类的意识提供日常服务和紧急援助。 拟议的教育活动将通过一系列本科生和研究生课程的丰富课程，提高人们对机器人研究的认识。 通过外展活动，它将刺激未来和当前的大学生攻读科学和工程领域的学位和职业。该项目的目标是为这种体贴的协作机器人智能开发新的理论/算法框架和开放的硬件/软件平台。 所提出的方法基于无处不在的人类意识——机器人能够在不使用机载传感器的情况下了解人在室内环境中的活动和位置。这种能力是通过可穿戴设备从人性化的角度进行传感和计算来实现的。主要研究工作包括四个部分：协作机器人3D语义映射；人类活动和位置推断；活动预测和行为异常检测；使用开放硬件/软件平台进行实验评估。将进行案例研究，以评估所提出的体贴协作机器人智能在老年人跌倒预防、检测和干预方面的有效性。

项目成果

EXAMINING DISCREPANCIES IN SOCIAL ROBOT VERSUS HUMAN ASSESSMENTS OF GERIATRIC WELL-BEING

• DOI: 10.1093/geroni/igz038.1199
• 发表时间: 2019-11-08
• 期刊: Innovation in Aging
• 影响因子: 7
• 作者: Harrington E;Do H;Bishop AJ;Reese-Melancon C;Sheng AW
• 通讯作者: Sheng AW

Negative Emotion Management Using a Smart Shirt and a Robot Assistant

• DOI: 10.1109/lra.2021.3067867
• 发表时间: 2021-04-01
• 期刊: IEEE ROBOTICS AND AUTOMATION LETTERS
• 影响因子: 5.2
• 作者: Pham, Minh;Do, Ha Manh;Sheng, Weihua
• 通讯作者: Sheng, Weihua