机器人工作站编程系统的概念结构

IF 2.9 Q2 ROBOTICS
A. Steiger-Garção, L.M. Camarinha-Matos
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引用次数: 9

摘要

本文简要讨论了几位作者提出的任务级编程系统,并提供了另一种方法。分析了视觉和触觉模块、cad系统、机器人模拟器、专业规划器等组件集成的可能性。这将有助于我们在尝试将它们集成到系统中时理解它们的相互关系和限制。机器人站的概念,而不仅仅是一个操纵者,将被保留。提出的概念结构有两个阶段:•-离线:自动计划生成(隐式编程)和计划测试(模拟执行)•-在线:具有感官反馈和局部规划能力的执行监督。分析了脱机方法的通常局限性,并建议全站模拟发挥更积极的作用,特别是在涉及全面的感官模拟方面,使以前必须在联机阶段进行的大多数核查能够转移到这一阶段。这将允许更现实的计划生成,并最终实现交互式计划(使用更好的调试工具)。在在线阶段,重点讨论了执行监督与感官反馈的关系。提出了一种适用于任何阶段的自动计划修复方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A conceptual structure for a robot station programming system

Task level programming systems previously proposed by several authors are briefly discussed and another approach is also offered.

The possibilities of integration of components such as vision and tactile modules, cad systems, robot simulators, specialized planners, etc., are analysed. This should help us to understand their interrelations and limitations when their integration in a system is attempted. The notion of robot station, rather than a mere manipulator, will be kept in view.

The conceptual structure presented has two phases:

  • &#x02022;

    - off-line: automatic plan generation (implicit programming) and plan testing (in simulated execution)

  • &#x02022;

    - on-line: execution supervision with sensorial feedback and local planning capability.

The usual limitations of an off-line approach are analyzed and a more active role of simulation of the whole station is suggested, specially in what concerns a comprehensive sensorial simulation, allowing moving to this phase most verifications, previously mandatory on the on-line phase. This should allow a more realistic plan generation and, eventually, interactive planning (with better debugging tools).

In the on-line stage, emphasis is placed on the relationship between execution supervision and sensorial feedback. One suggestion of automatic plan repair, valid for any of the phases is also presented.

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来源期刊
Robotics
Robotics Mathematics-Control and Optimization
CiteScore
6.70
自引率
8.10%
发文量
114
审稿时长
11 weeks
期刊介绍: Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM
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