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A comprehensive multi‐sensor system using three‐dimensional vision, a laser range‐finder, an ultrasonic proximity sensor, and an infra‐red radar for position location, have been built into a mobile robot.

Eddy current and ultrasonic sensing have potentially large advantages over vision systems for guidance of arc welding, except with very complex geometries. They are simpler, less expensive, and eddy current is immune to fumes from the arc. The authors review work currently in progress at Oxford.

Developing general purpose mobile robots is very much dependent on the availability of suitable sensors. A common choice by researchers is ultrasonics and work at the Laboratory of Applied Advanced Electronic Techniques (LATEA) has resulted in a simple, self‐adapting and self‐correcting ultrasonic sensor,

Mobile robots offer more flexibility and scope than the fixed single arm type. French researchers are putting considerable effort into developing such devices and here results of their efforts are described.

A simple ultrasonic sensor coupled with a colour sensing system has been designed and built in the laboratory of the French National Institute of Applied Science at Rennes, and mounted on the laboratory's VESA mobile robot. It can distinguish simple configurations of obstacles and measure their distance from the robot, and within certain limits of illumination can classify obstacles to eight reference colours.

The purpose of this paper is to provide a review of the interdisciplinary research field, autonomous industrial mobile manipulation (AIMM), with an emphasis on physical implementations and applications.

Following an introduction to AIMM, this paper investigates the missing links and gaps between the research and developments efforts and the real‐world application requirements, in order to bring the AIMM technology from laboratories to manufacturing environments. The investigation is based on 12 general application requirements for robotics: sustainability, configuration, adaptation, autonomy, positioning, manipulation and grasping, robot‐robot interaction, human‐robot interaction, process quality, dependability, and physical properties.

The concise yet comprehensive review provides both researchers (academia) and practitioners (industry) with a quick and gentle overview of AIMM. Furthermore, the paper identifies key open issues and promising research directions to realize real‐world integration and maturation of the AIMM technology.

This paper reviews the interdisciplinary research field, autonomous industrial mobile manipulation (AIMM).

This paper aims to introduce an efficient active-simultaneous localization and mapping (SLAM) approach for rover navigation, future planetary rover exploration mission requires the rover to automatically localize itself with high accuracy.

A three-dimensional (3D) feature detection method is first proposed to extract salient features from the observed point cloud, after that, the salient features are employed as the candidate destinations for re-visiting under SLAM structure, followed by a path planning algorithm integrated with SLAM, wherein the path length and map utility are leveraged to reduce the growth rate of state estimation uncertainty.

The proposed approach is able to extract distinguishable 3D landmarks for feature re-visiting, and can be naturally integrated with any SLAM algorithms in an efficient manner to improve the navigation accuracy.

This paper proposes a novel active-SLAM structure for planetary rover exploration mission, the salient feature extraction method and active revisit patch planning method are validated to improve the accuracy of pose estimation.