US-Italy Cooperative Research: Multiple Robot Control

美意合作研究：多机器人控制

• 批准号: 0406519
• 负责人: Ron Lumia
• 金额: $ 1.74万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0406519&HistoricalAwards=false
• 关键词: US; Italy; Cooperative; Research; Multiple

0406519LumiaThis two-year award supports US-Italy cooperative research in multiple robot arm force/impedance control and visual servoing involving Ron Lumia, University of New Mexico, and Dr. Bruno Sicialiano at the University of Naples, Italy. The objective of the research is to explore visual servoing and force/impedance control on a single robot and to expand the results to multiple robots. The project takes advantage of the complementary capabilities of the two laboratories. The University of Naples (PRISMA lab) has a fast real time control system for its two Comau robots. The University of New Mexico (UNM) has developed fast visual servoing algorithms. The use of the PRISMA system will allow the exercise of the UNM algorithms and measure performance effectively.The collaboration will combine fast robot control with very fast sensory processing for dual robot applications. This will advance the theory of dual robot control and experimentally verify the results. The results of the research will develop insight into active vision based feedback control for single robots and dual robot configurations demonstrate UNM's active vision system software used as object position feedback in single and dual arm robots, and develop new theory for controlling robots that simplifies the dynamic equations of motion. The results will have implications for manufacturing and all advanced robotic applications in which robots must rapidly assembly objects.

0406519 Lumia这个为期两年的奖项支持美国和意大利在多机器人手臂力/阻抗控制和视觉伺服方面的合作研究，涉及新墨西哥州大学的罗恩Lumia和意大利那不勒斯大学的Bruno Sicialiano博士。 研究的目的是探索视觉伺服和力/阻抗控制在一个单一的机器人，并扩大到多个机器人的结果。 该项目利用了两个实验室的互补能力。 那不勒斯大学（PRISMA实验室）为其两个柯马机器人提供了一个快速的真实的时间控制系统。 新墨西哥州大学（UNM）开发了快速视觉伺服算法。 PRISMA系统的使用将允许UNM算法的练习和有效地测量性能。该合作将联合收割机快速机器人控制与双机器人应用的非常快速的传感处理相结合。 这将推进双机器人控制的理论和实验验证的结果。 研究结果将深入了解基于主动视觉的单机器人和双机器人配置的反馈控制，展示UNM的主动视觉系统软件在单臂和双臂机器人中用作物体位置反馈，并开发控制机器人的新理论，简化运动的动态方程。 这些结果将对制造业和所有先进的机器人应用产生影响，在这些应用中，机器人必须快速组装物体。