In this paper, a biologically inspired neural network approach to real-time collision-free
motion planning of mobile robots or robot manipulators in a nonstationary environment is …

In this paper, a knowledge based genetic algorithm (GA) for path planning of a mobile robot
is proposed, which uses problem-specific genetic algorithms for robot path planning instead …

In this paper, we propose a novel trajectory planning method for a robot manipulator whose
workspace includes several obstacles. To generate the robot's trajectory we developed a …

In this paper, dynamic collision-free trajectory generation in a nonstationary environment is
studied using biologically inspired neural network approaches. The proposed neural …

In this paper a novel knowledge based fuzzy control system with Probabilistic Roadmap
(PRM) method is proposed for path planning and target seeking behaviour of mobile robot in …

This paper presents a modified pulse-coupled neural network (MPCNN) model for real-time
collision-free path planning of mobile robots in nonstationary environments. The proposed …

A navigation control methodology is proposed in this paper, which utilizes a hybrid concept
of grey wolves optimisation (GWO) algorithm and an artificial potential field (APF) method for …

In this paper, a novel knowledge based genetic algorithm (GA) for path planning of multiple
robots for multiple targets seeking behaviour in presence of obstacles is proposed. GA …

An efficient neural network method is proposed for real-time motion planning of a mobile
robot or a multi-joint robot manipulator with safety consideration in a nonstationary …

This paper deals with the reactive control of an autonomous robot which move safely in a
crowded real world unknown environment and to reach specified target by avoiding static as …