In path planning problem of a mobile robot, the objective is to find an optimal collision free
path from a source to single or multiple targets. Domain knowledge based genetic …

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

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 …

In this paper, a new path-planning scheme based on pseudoinverse-type formulation for
redundant robot manipulators with the existence of noise is proposed and investigated …

One of the most important and useful feature of autonomous mobile robots is their ability to
adopt themselves to operate in unstructured environment. Today robots are performing …

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 …

Avoiding obstacle (s) is a challenging issue in the research of redundant robot manipulators.
In addition, noise from truncation, rounding, and model uncertainty is an important factor that …

We present a neural network that learns to control approach and avoidance behaviors in a
mobile robot based on a form of animal learning known as operant conditioning. Learning …