Plan generation in robotics

IF 2.9 Q2 ROBOTICS Robotics Pub Date : 1987-09-01 DOI:10.1016/0167-8493(87)90050-7
L.M. Camarinha-Matos
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引用次数: 12

Abstract

In this paper we have endeavored to present the state of the art of Automatic Plan Generation, with special emphasis on its application to Robotics, as well as some personal perspectives on the topics covered.

Thus, we begin by presenting a panoramic view of the first attempts at plan generation, but as yet, not connected with robotics. Further, a survey was made of the main problems to be met when it is intended to plan for a real executor in a real world.

Next, the case of distributed robotic systems and its implications on plan generation is examined. The question of time and its explicit representation is also looked upon.

Finally, a view on learning and specialized plan generators is also given.

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机器人技术中的计划生成
在本文中,我们努力介绍自动计划生成技术的现状,特别强调其在机器人技术中的应用,以及对所涵盖主题的一些个人观点。因此,我们首先展示计划生成的第一次尝试的全景视图,但到目前为止,还没有与机器人技术联系起来。此外,还对在现实世界中为真正的执行者进行计划时要遇到的主要问题进行了调查。接下来,研究了分布式机器人系统及其对计划生成的影响。时间和它的明确表示的问题也被看。最后,给出了学习和专业规划生成器的观点。
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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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