CISE Instrumentation: Applying Software Engineering Methodologies to Robotics Tasks: A Cross Disciplinary Approach

9729875 Heimdahl，Mats，P.E. 明尼苏达大学双城分校 CISE研究仪器：将软件工程方法应用于机器人任务：跨学科方法 这种研究仪器使研究项目：-嵌入式系统软件的快速原型和合成，-基于视觉的机器人抓取中的不同问题的研究，-车辆应用中的传感器融合，以及-多个自我感兴趣的机器人的行为。 为了支持上述项目，明尼苏达大学计算机科学系将购买一个VXI总线嵌入式实时软件开发环境、几个移动的平台和机器人模拟软件，这些软件将专门用于软件工程、机器人和人工智能的研究。该设备将用于多个研究项目，特别包括：基于需求的原型设计和嵌入式系统控制软件的合成，基于闭环视觉的机器人抓取，车辆应用的传感器融合，以及多个自利机器人的行为。 除了单个项目的贡献外，PI之间的合作将有助于评估现实项目中的尖端软件工程技术（例如，评估可扩展性，评估易用性和对领域的适用性）以及评估在机器人和AI应用中使用严格的软件工程技术（例如，对控制算法的重用的影响，以及对系统性能、鲁棒性和安全性的影响）。 采购的设备包括（1）一个完整的VXI总线嵌入式软件开发环境，（2）一台带有传感和控制应用接口的VXI总线嵌入式计算机，（3）作为拟议项目试验台的低成本移动的平台，以及（4）用于任务规划和软件原型制作的机器人模拟软件。

9729875 Heimdahl, Mats, P.E. University of Minnesota, Twin Cities CISE Research Instrumentation: Applying Software Engineering Methodologies to Robotics Tasks: A Cross Disciplinary Approach This research instrumentation enables research projects in:- Rapid Prototyping and Synthesis of Software for Embedded Systems, - Studies of Different Issues in Vision-Based Robotic Grasping,- Sensor Fusion in Vehicle Applications, and - Behaviors of Multiple Self-Interested Robots. To support the aforementioned projects, the Department of Computer Science at the University of Minnesota will purchase a VXI-bus embedded real-time software development environment, several mobile platforms, and robot simulation software which will be dedicated to research in software engineering, robotics, and artificial intelligence. The equipment will be used for several research projects, including in particular: requirements-based prototyping and synthesis of control software for embedded systems, closed-loop vision-based robotic grasping, sensor fusion for vehicle applications, and behaviors of multiple self-interested robots. In addition to the contributions of the individual projects, the collaboration between the PIs will help evaluate cutting edge software engineering techniques on realistic projects (for example, evaluation of scalability, evaluation of ease of use, and applicability to the domain) as well as evaluate the use of rigorous software engineering techniques in robotics and AI applications (for example, the effect on reuse of control algorithms, and the effect on system performance, robustness, and safety). The equipment purchase includes (1) a complete VXI-bus embedded software development environment, (2) one VXI-bus embedded computer with interfaces for sensing and control applications, (3) low-cost mobile platforms serving as testbeds for the proposed projects, and (4) robotics simulations software to be used in task planning and software prototyping.