{"title":"A conceptual structure for a robot station programming system","authors":"A. Steiger-Garção, L.M. Camarinha-Matos","doi":"10.1016/0167-8493(87)90008-8","DOIUrl":null,"url":null,"abstract":"<div><p>Task level programming systems previously proposed by several authors are briefly discussed and another approach is also offered.</p><p>The possibilities of integration of components such as vision and tactile modules, <span>cad</span> 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.</p><p>The conceptual structure presented has two phases: </p><ul><li><span>&#x02022;</span><span><p>- off-line: automatic plan generation (implicit programming) and plan testing (in simulated execution)</p></span></li><li><span>&#x02022;</span><span><p>- on-line: execution supervision with sensorial feedback and local planning capability.</p></span></li></ul><p>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).</p><p>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.</p></div>","PeriodicalId":37568,"journal":{"name":"Robotics","volume":"3 2","pages":"Pages 195-204"},"PeriodicalIF":2.9000,"publicationDate":"1987-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0167-8493(87)90008-8","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0167849387900088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 9
Abstract
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:
•
- off-line: automatic plan generation (implicit programming) and plan testing (in simulated execution)
•
- 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.
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