GOALI/FSI/Graduate Student Industrial Fellowship: Improving the Kinematic Control of Robots with Computer Vision

9510612莱因霍尔茨这一行业学术联系机会奖将资助一名研究生和一名教职员工的一小部分时间来参与弗吉尼亚理工大学和B&amp；W核能技术公司之间的一个合作项目。该项目将使用不同的运动控制模式来实现工业机器人的手眼协调。视觉将是这个控制问题的主要反馈形式。对于S公司的应用来说，这是一个很有吸引力的方法。在空间和通道有限的地方，机器人为蒸汽发生器提供服务，但这些应用需要+/-0.5毫米量级的运动，有效载荷为65公斤。宝洁公司将提供实物支持，承诺为研究提供设备、技术支持和软件。这次合作的结果将使监测发电厂主要部件的可操作性和安全性更好。该技术也适用于需要在有限空间和危险区域进行远程操作的地方。*

9510612 Reinholtz This Grant Opportunity for Academic Liaison with Industry award will support a graduate student and a fraction of a faculty member's time to work on a collaborative project between Virginia Tech and B&W Nuclear Technologies. The project will use different modes of motion control for hand-to-eye coordination of an industrial robot. Vision will be the major form of feedback for this control problem. This is an attractive approach for B&W 's application. Robots service steam generators where space and access are limited, but the applications call for motion on the order of +/-0.5 mm with a payload of 65 kg. B&W will provide in-kind support by committing the equipment, technical support and software for the research. The results from this collaboration will allow better maneuverability and safety in monitoring major components of power generating plants. The technology is also applicable where remote operation in confined spaces and hazardous areas is needed. ***