The boustrophedon cell decomposition (BCD) is a method used in

artificial intelligence Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of re ...

and

robotics Robotics is the interdisciplinary study and practice of the design, construction, operation, and use of robots. Within mechanical engineering, robotics is the design and construction of the physical structures of robots, while in computer s ...

for configuration space solutions. Like other cellular decomposition methods, this method transforms the configuration space into cell regions that can be used for

path planning Motion planning, also path planning (also known as the navigation problem or the piano mover's problem) is a computational problem to find a sequence of valid configurations that moves the object from the source to destination. The term is used ...

. A strength of the boustrophedon cell decomposition is that it allows for more diverse, non-polygonal obstacles within a configuration space. The representation still depicts polygonal obstacles, but the representations are complex enough that they are very effective when describing things like rounded surfaces, jagged edges, etc. It is a goal of the method to optimize a path that can be chosen by an intelligent system. While a BCD can represent the existence of objects in a physical space, it does very little to nothing in terms of recognizing the objects. This would be done using another method, one which most likely requires additional sensory data in order to be used.

References

{{reflist Robot control Computer vision