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

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力是以更低的成本提高农业产量。拟议的第二阶段项目将推进自主万能收获机器人系统的开发。通过将人工智能与灵活的机器人系统相结合，种植者可以在降低操作复杂性的同时提高产量。这个小型企业创新研究第二阶段项目将为机器人农业收获系统开发关键技术。新的机器学习和计算机视觉技术将被用来构建生长环境的三维模型。这些模型将为多自由度机械臂自动计算出移动计划提供信息，该计划可以避开可能缠绕机器人的障碍物和物品。该奖项反映了NSF的法定使命，通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.