Title:Collaborative Scheduling of Algorithms for Path Planning of Unmanned Systems
Volume: 1
Issue: 3
Author(s): Ying Li, Chubing Guo, Jianshe Wu*, Xin Zhang, Jian Gao, Kai Zhang and Yuqian Wang
Affiliation:
- The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an 710071,China
Keywords:
Unmanned systems, A* algorithm, path planning, algorithmic collaborative, features of algorithms, representationof algorithms.
Abstract: Background: Unmanned systems have been widely used in multiple fields. Many algorithms
have been proposed to solve path planning problems. Each algorithm has its advantages and
defects and cannot adapt to all kinds of requirements. An appropriate path planning method is needed
for various applications.
Objective: To select an appropriate algorithm swiftly in the given application. This could be helpful
for improving the efficiency of path planning for unmanned systems.
Methods: This paper proposes to represent and quantify the features of algorithms based on the
physical indicators of results. At the same time, an algorithmic collaborative scheme is developed to
search the appropriate algorithm according to the requirement of the application. As an illustration of
the scheme, four algorithms, including the A-star (A*) algorithm, reinforcement learning, genetic algorithm,
and ant colony optimization algorithm, are implemented in the representation of their features.
Results: In different simulations, the algorithmic collaborative scheme can select an appropriate
algorithm in a given application based on the representation of algorithms. Hence, the algorithm
could plan a feasible and effective path.
Conclusion: An algorithmic collaborative scheme is proposed, which is based on the representation
of algorithms and requirement of the application. The simulation results prove the feasibility of the
scheme and the representation of algorithms.
