In early decades, rescue operation in coal mine was treated as a dangerous task. After explosions occur, when rescue workers get into the tunnel without environment conditional awareness, they are facing heavy damages due to consecutive explosions [1]. This bring the necessity to detect the status of the mine environment details such as toxic gases, high temperatures through wireless sensors to...

The Scarabs Team robot (Ringo) was designed and built by a team of high school students on a limited budget. The goal was to keep the design simple yet easy for a single human operator to control. The team uses a custom joystick interface to control robot movement using a PC. A Linuxbased camera provides video to the operator and passes serial commands from the PC to the robot. The goals of the...

This paper describes a mobile robot system designed to explore and map an area such as is encountered in urban search and rescue simulations. The robot uses homogeneous artificial landmarks for localization as it builds metric and topological maps, determining landmark distance and bearing with groundplane calculations from a single camera and using Kalman filtering techniques to perform locali...

We explore the problem of resource allocation in a system made up of autonomous agents that can either carry out tasks individually or, when necessary, cooperate by forming physical connections with each other. We consider a group transport scenario that involves transporting broken robots to a repair zone. Some broken robots can be transported by an individual ‘rescue’ robot, whereas other bro...

Mobile robots are integrated into a search and rescue team as tools for searching victims in dangerous areas that is harmful for human, as to provide the perception data for map building, and as to follow the human entity during the mission. The teleoperated control and the autonomous path following is implemented on the robots for the semiautonomous navigation in the simulated firing scenario....

We use Inductive Logic Programming (ILP) to learn classifiers for generic object recognition from point clouds, as generated by 3D cameras, such as the Kinect. Each point cloud is segmented into planar surfaces. Each subset of planes that represents an object is labelled and predicates describing those planes and their relationships are used for learning. Our claim is that a relational descript...