The method also proposes a search algorithm for proper exit in the case of robot and/or goal point trapping. Both simulation and experiments are used in validating the algorithm. The results show the effectiven
obstacle density [2]. To improve the optimality of the path formed by the grid edges, the Theta* algorithm transports information along the grid edges without constraining the paths to the grid edges [3]. However, a disadvantage of the Theta* algorithm is that lots of invalid node checks ...
obstacle avoidingRBF neural networkrobot motion planningThe dynamic path generation problem of robots in environments with other unmoving and moving objects is considered. Generally, the problem is known in the literature as find path or robot motion planning. In this paper, we apply the behavioral ...