Heuristic approaches in robot path planning: A survey. Robot. Auton. Syst. 2016, 86, 13-28. [CrossRef]Mac, T. T., Copot, C., Tran, D .T., De Keyser, R. (2016), Heuristic approaches in robot path planning: a surveys, Autonomous and Robotics System, vol. 86, pp. 13-28....
To realize a fast and efficient path planning for mobile robot in complex environment, an enhanced heuristic ant colony optimization (EH-ACO) algorithm is proposed. Four strategies are introduced to accelerate the ACO algorithm and optimize the final path. Firstly, the heuristic distance in the ...
Most graph planning algorithms discretize environment models and describe the environment by graphs [16]. The vertices of a graph generally represent the positions that a robot can reach. The edges represent the local paths that the robot can choose. The main algorithms include graph search, visibi...
In robot-path-planning, the computational time will significantly increase if the moving targets rise largely, also known as the large-scale TSP. Hence, the current algorithms for the shortest path planning may be ineffective in the large-scale TSP. Aimed at the real-time applications that a ...
planar robot manipulator, to position its end effector at the desired target with minimal error and convergence time, while avoiding the obstacles in the workspace. Four variants of Particle Swarm Optimization (PSO) technique is used as the heuristic approaches to solve the above problem. The ...
Navigation is conventionally approached as a largely geometric problem, where the aim is to map an environment and use that map to find a path to a goal location 传统上说白了就是绘制地图并找到路径 Learning-based approaches: reinforcement or imitation ...
Coverage path planning (CPP) of multiple Dubins robots has been extensively applied in aerial monitoring, marine exploration, and search and rescue. Existing multi-robot coverage path planning (MCPP) research use exact or heuristic algorithms to address coverage applications. However, several exact alg...
The proposed method has been implemented to make the wheeled mobile robots navigate through static obstacles and to generate a minimum energy consumption path by restricting the motion of the robot in an optimal direction. Finally, the computational complexity of the proposed method has been ...
After studying different trajectory planning approaches and their applications [ 8 ], we conclude that some of these methods can be combined to design a new, powerful approach based on the accurate property of Dijkstra and the heuristic function of A Star.Dijkstra is known as a powerful ...
Scheduling has an immense effect on various areas of human lives, be it though its application in manufacturing and production industry, transportation, wo