In this paper a system for simultaneous navigation and monitoring with autonomous reaction to failures is going to be presented. This system is part of a complete navigation system called AURON (Autonomous Robot Navigation). The AURON System autonomy is based on the interaction of four main components: the autonomous generation of an environment representation, the planning of a sequence of act...

This paper presents a first part, Part-I of two, of a complete exploration and navigation methodology that enables a robot to safely navigate in an unknown environment. Reactive sensor-based navigation tasks and control laws are derived from the interaction between the robot and its workspace. The perception is performed by a 2-D laser range finder mounted on the robot. Reactive navigation task...

The terrain acquisition problem deals with the acquisition of the complete obstacle terrain model by a mobile robot placed in an unexplored terrain. This is a precursory problem to many well-known find-path and related problems which assume the availability of the complete terrain model. In this paper, we present a method for terrain acquisition by a finitesized robot operating in plane populat...

High-level symbolic representations of actions to control the working of autonomous robots are used in all hybrid (reactive and deliberative) robot control architectures. Abstract action representations serve several purposes, such as structuring the control code, optimizing the robot performance, and providing a basis for reasoning about future robot action. The paper presents results about re...

We describe a mobile robot navigation behavior based on learning from the visual environment of a particular task. This approach enables repetitions of such a previously learned navigation task. Navigation is performed from stored iconic visual information as well as stored motor-information from a reference or learning-run. This representation is then used to large-scale guide the robot on sub...

Autonomous robot navigation with the capability to perceive the surrounding environment of the robot enhances the efficiency and safety of the robot. A technique for terrain classification for traversability assessment of mobile robot navigating in natural terrain by extracting the textural features from visual sensing of terrain data using co-occurrence matrix is presented in this paper. The a...

Visual attention refers to the ability of a vision system to rapidly detect visually salient locations in a given scene. On the other hand, the selection of robust visual landmarks of an environment represents a cornerstone of reliable vision-based robot navigation systems. Indeed, can salient scene locations provided by visual attention be useful for robot navigation? This work investigates th...

This paper introduces a water quality data measurement and analysis system equipped in underwater robot. The system consists of sonar navigation module, inertial navigation module equipped in underwater robot, data processing module and sensor detection module. Sonar navigation module and inertial navigation module equipped in underwater robot are separately used to detect current speed, azimut...

Autonomous navigation is an essential component of an indoor mobile robot for elderly care. For an interactive user experience the robot should be able to understand multiple navigational tasks and perform them as optimally as possible. User may issue multiple random destinations to the robot to reach in a scenario like finding the elderly person, but to navigate randomly may result in an ineff...

Robot navigation in human environments is an active research area that poses serious challenges in both robot perception and actuation. Among them, social navigation and human-awareness have gained lot of attention in the last years due to its important role in human safety and robot acceptance. Several approaches have been proposed; learning by demonstrations stands as one of the most used app...