SBIR Phase II: AI-Powered Robotic Harvesters for Greenhouse Cultivation

SBIR 第二阶段：用于温室种植的人工智能机器人收割机

• 批准号: 1951077
• 负责人: Joshua Lessing
• 金额: $ 73.89万
• 依托单位: ROOT AI, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-15 至 2022-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951077&HistoricalAwards=false
• 关键词: SBIR; Phase; II; AI; Powered

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to improve agricultural yields at lower costs. The proposed Phase II project will advance the development of an autonomous universal harvesting robotic system. By combining artificial intelligence with dexterous robotic systems that physically care for each plant, growers can boost their yields while decreasing operational complexity. This Small Business Innovation Research Phase II project will develop critical technologies for robotic agricultural harvesting systems. New machine learning and computer vision techniques will be used to construct three-dimensional models of the growing environment. These models will inform automatically calculated movement plans for a multi-degree-of-freedom robotic arm that avoids obstacles and items that could entangle the robot.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）II期项目的更广泛的影响/商业潜力是以较低的成本提高农业产量。 拟议的II期项目将推进自主通用机器人系统的开发。通过将人工智能与灵巧的机器人系统相结合，可以在每种植物上进行物理护理，种植者可以提高其产量，同时降低操作复杂性。这个小型企业创新研究阶段项目将开发针对机器人农业收获系统的关键技术。新的机器学习和计算机视觉技术将用于构建不断增长的环境的三维模型。 这些模型将为自动计算的运动计划提供信息，以避免遇到机器人的障碍和物品，以自动计算出的运动计划。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来评估的，并被视为值得通过评估。