Multi-vehicle systems are naturally encountered in civil and military applications. Cooperation amongst individual “miniaturized” vehicles allows for flexibility to accomplish missions that a single large vehicle may not readily be able to accomplish. While accomplishing a mission, motion planning algorithms are required to efficiently utilize a common resource (such as the total fuel in the collection of vehicles) or to minimize a collective cost function (such as the maximum time taken by the vehicles to reach their intended destination). The objective of this chapter is to present a constant factor approximation algorithm for planning the path of each vehicle in a collection of vehicles, where the motion of each vehicle must satisfy yaw rate constraints.
Abstract:
Publication date:
January 1, 2007
Publication type:
Book Chapter
Citation:
Rathinam, S., Sengupta, R., & Darbha, S. (2007). Path Planning for a Collection of Vehicles With Yaw Rate Constraints. In D. Grundel, R. Murphey, P. Pardalos, & O. Prokopyev (Eds.), Cooperative Systems: Control and Optimization (pp. 255–268). Springer. https://doi.org/10.1007/978-3-540-48271-0_15