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Experiments in intervention autonomous underwater vehicles.

机译:干预自主水下航行器的实验。

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Underwater robots have the potential to enhance greatly human ability to explore and utilize the world's oceans. Many research institutions are studying autonomous underwater vehicles (sc AUVs) in order to increase the capabilities of undersea robots. However, the capabilities of current sc AUVs have been largely limited to survey and sample tasks with minimal interaction with the ocean environment.; The ability of untethered robots to manipulate objects in the environment represents a significant advancement towards increasing humankind's capacity to work under the sea. The work presented in this thesis establishes a new class of underwater robotic systems with intervention capabilities--the Intervention Autonomous Underwater Vehicle (I sc AUV). Through this research, in a joint program between the Stanford University Aerospace Robotics Laboratory (A sc RL) and the Monterey Bay Aquarium Research Institute (M sc BARI), O scTTER--an Ocean Technology Testbed for Engineering Research, the world's first I sc AUV, has been developed to investigate experimentally supporting technologies that will enable this new class of underwater robots.; In this work, the general principles of Object-Based Task-Level Control, where human perception and judgment are intelligently merged with computer computation and control, have been adopted in the design approach. In doing so, the constraints on communication between the human and robot are reduced, and more importantly, the capabilities of the resulting human/robot team are beyond that of either manual teleoperation or total autonomy alone.; The philosophy of concurrently specifying a programming architecture with software tools is introduced as a methodology for creating shareable architectures. A generic programming architecture for underwater robots is a direct contribution of this research. This architecture can be easily adopted by other robotic programmers by using an associated set of off-the-shelf software tools that have been assembled to create components fitting together in an unified framework.; Specifically to support intervention, a practical stereo-vision sensing system was created to locate underwater objects, and an unique approach called Constrained Relative Trajectories was developed to control the robot without occluding the vision system. Integrated together within the O sc TTER I sc AUV, the design approach and the newly-developed technologies contributed by this thesis are validated experimentally in the first-ever demonstration of a multi-phased intervention mission--where O sc TTER successfully searches for, finds and approaches, docks to and retrieves an object sitting at the bottom of a test tank upon high-level command of a human supervisor.
机译:水下机器人具有极大地增强人类探索和利用世界海洋的能力的潜力。许多研究机构正在研究自动水下航行器(sc AUV),以提高水下机器人的能力。但是,目前的sc AUV的功能在很大程度上仅限于与海洋环境相互作用最小的调查和采样任务。不受束缚的机器人在环境中操纵物体的能力代表了在提高人类在海底工作能力方面的重大进步。本文提出的工作建立了具有干预功能的新型水下机器人系统-介入式自主水下航行器(Isc AUV)。通过这项研究,在斯坦福大学航空航天机器人实验室(Asc RL)和蒙特利湾水族馆研究所(Msc BARI)的联合计划中,OscTTER(海洋工程测试技术平台)是世界上第一个Isc AUV已开发用于研究实验支持技术,这些技术将使这种新型水下机器人成为可能。在这项工作中,在设计方法中采用了基于对象的任务级控制的一般原理,其中人类的感知和判断与计算机的计算和控制智能地融合在一起。这样,减少了人与机器人之间通信的限制,更重要的是,最终的人/机器人团队的能力超出了手动遥操作或完全自主的能力。介绍了使用软件工具同时指定编程体系结构的原理,作为创建可共享体系结构的方法。水下机器人的通用编程架构是这项研究的直接贡献。其他机器人程序员可以通过使用一组相关联的现成软件工具轻松地采用这种体系结构,这些软件工具已经组装在一起,以创建在统一框架中可装配在一起的组件。为了专门支持干预,创建了一个实用的立体视觉传感系统来定位水下物体,并且开发了一种称为“约束相对轨迹”的独特方法来控制机器人而不遮挡视觉系统。在Osc TTER Isc AUV内整合在一起后,本论文贡献的设计方法和新开发的技术在多阶段干预任务的首次演示中进行了实验验证-Osc TTER成功地搜索,在人员监督员的高层指挥下,找到并接近,停靠并取回坐在试验箱底部的物体。

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