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

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 neural dynamics based approach is proposed for real-time motion planning with obstacle
avoidance of a mobile robot in a nonstationary environment. The dynamics of each neuron …

This paper presents a simple yet efficient dynamic-programming (DP) shortest path
algorithm for real-time collision-free robot-path planning applicable to situations in which …

This article develops a model of how reactive and planned behaviors interact in real time.
Controllers for both animals and animats need reactive mechanisms for exploration, and …

An efficient grid-based distance-propagating dynamic system is proposed for real-time robot
path planning in dynamic environments, which incorporates safety margins around …

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 article describes a self-organizing neural network architecture that transforms optic flow
and eye position information into representations of heading, scene depth, and moving …

Describes a neural network model for the reactive behavioral navigation of a mobile robot.
From the information received through the sensors the robot can elicit one of several …