Flying insects are able to fly smartly in an unpredictable environment. It has been found that
flying insects have smart neurons inside their tiny brains that are sensitive to visual motion …

Research over the past century has revealed the impressive capacities of the honeybee,
Apis mellifera, in relation to visual perception, flight guidance, navigation, and learning and …

In this paper, a mobile robot control law for corridor navigation and wall-following, based on
sonar and odometric sensorial information is proposed. The control law allows for stable …

Navigating within an unknown indoor environment using an electric wheelchair is a
challenging task, especially if the user suffers from severe disabilities. In order to reduce …

In this paper an autonomous wall-following robot is presented. The inputs are obtained from
ultrasonic sensors mounted. These inputs are sent to a microchip PIC16F877 …

In our project on the autonomous guidance of Micro-Air Vehicles (MAVs) in confined indoor
and outdoor environments, we have developed a vision based autopilot, with which a …

This paper presents the design of an autonomous robot as a basic development of an
intelligent wheeled mobile robot for air duct or corridor cleaning. The robot navigation is …

Purpose Automatic guided vehicles (AGVs) are widely used in industrial fields. But most
control strategies merely take the lateral force into consideration. This will reduce the …

This paper proposes an alternative approach to address the problem of coordinating
behaviors in mobile robot navigation: fusion of control signals. Such approach is based on a …

In case of motor impairments, steering a wheelchair can become a hazardous task. Joystick
jerks induced by uncontrolled motions may lead to wall collisions when a user steers a …