Motion (physics)

Robot

Process (computing)

Engineering

Robot manipulator

Mobile manipulator

Motion planning

Variety (cybernetics)

Control engineering

Real-time computing

Operating system

Selection (genetic algorithm)

Set (abstract data type)

Computer science

Geology

Oceanography

Manipulator (device)

Simulation

Mobile robot

Artificial intelligence

Underwater

Programming language

Planner

Robotics and Autonomous Systems

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.

Motion planning survey for autonomous mobile manipulators underwater manipulator case study