Motion planning survey for autonomous mobile manipulators underwater manipulator case study
| Autor: | Dina Youakim, Pere Ridao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science Process (engineering) General Mathematics Control engineering 02 engineering and technology Motion (physics) Computer Science Applications Variety (cybernetics) Set (abstract data type) 020901 industrial engineering & automation Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Motion planning State (computer science) Software |
| Zdroj: | Robotics and Autonomous Systems. 107:20-44 |
| ISSN: | 0921-8890 |
| Popis: | Sampling-based, search-based, and optimization-based motion planners are just some of the different approaches developed for motion planning problems. Given the wide variety of application tackled by autonomous mobile manipulators, the question “which planner to choose” may be tough. In this paper, we review the state of the art of the most common approaches, and present a set of benchmarks with the aim to provide not only a theoretical review but also a qualitative/quantitative comparison of the algorithms. Our purpose is to provide an insight and analyze their performance with respect to different metrics. The results are based on an Underwater Vehicle Manipulator System UVMS, although they can be extended to terrestrial and aerial robots as well. The paper uses these results to formalize a set of guidelines for the selection process of the most appropriate approach, for a given problem/requirements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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