Three-dimensional localization and mapping for mobile robot in disaster environments

To relieve damages of earthquake disaster, &#34;The Special Project for Earthquake Disaster Mitigation in Urban Areas&#34; have been kicked off in Japan. Our research group is a part of the sub-project &#34;modeling of disaster environment for search and rescue&#34; since 2002. In this project, our group aims to develop a three-dimensional mapping's algorithm that is installed in a mobile robot to search victims in a collapsed building. To realize this mission, it is important to map environment information, and also the mapping requires localization simultaneously. (This is called &#34;SLAM problem&#34;.) In this research, we use three-dimensional map by laser range finder, and we also estimate its location in a global map using correlation technique. In this paper, we introduce our localization and mapping method, and we report a result of preparatory experiment for localization. </p

Development of ultra-small lightweight optical range sensor system

Abstract -We have developed a 2-D laser range sensor suitable for mobile robot platforms. The sensor features compactness, lightweight, high precision and low power consumption, and provides the wide scan angle with high resolution, which is very important for environment recognition by mobile robots. The basic technology for measuring the distance between the sensor and objects are; using amplitude modulation of light waves and detecting the phase difference between transmitted and the received one. This paper explains the specification of the proto-type sensor, the method of distance measurement and examples of experimental results

Three-dimensional localization and mapping for mobile robot in disaster environments

To relieve damages of earthquake disaster, &#34;The Special Project for Earthquake Disaster Mitigation in Urban Areas&#34; have been kicked off in Japan. Our research group is a part of the sub-project &#34;modeling of disaster environment for search and rescue&#34; since 2002. In this project, our group aims to develop a three-dimensional mapping's algorithm that is installed in a mobile robot to search victims in a collapsed building. To realize this mission, it is important to map environment information, and also the mapping requires localization simultaneously. (This is called &#34;SLAM problem&#34;.) In this research, we use three-dimensional map by laser range finder, and we also estimate its location in a global map using correlation technique. In this paper, we introduce our localization and mapping method, and we report a result of preparatory experiment for localization. </p