Context-based design of robotic systems
Robotics and Autonomous Systems
Efficient Multi-robot Search for a Moving Target
International Journal of Robotics Research
3D feature based mapping towards mobile robots' enhanced performance in rescue missions
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
An information-based exploration strategy for environment mapping with mobile robots
Robotics and Autonomous Systems
Improving the Efficiency of Clearing with Multi-agent Teams
International Journal of Robotics Research
Performance analysis for multi-robot exploration strategies
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Autonomous Agents and Multi-Agent Systems
Fast frontier detection for robot exploration
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Robot exploration with fast frontier detection: theory and experiments
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
MineralMiner: An active sensing simulation environment
Multiagent and Grid Systems
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“Exploration and search” is a typical task for autonomous robots performing in rescue missions, specifically addressing the problem of exploring the environment and at the same time searching for interesting features within the environment. In this paper, we model this problem as a multi-objective exploration and search problem and present a prototype system, featuring a strategic level, which can be used to adapt the task of exploration and search to specific rescue missions. Specifically, we make use of high-level representation of the robot plans through a Petri Net formalism that allows representing in a coherent framework decisions, loops, interrupts due to unexpected events or action failures, concurrent actions, and action synchronization. While autonomous exploration has been investigated in the past, we specifically focus on the problem of searching interesting features in the environment during the map building process. We discuss performance evaluation of exploration and search strategies for rescue robots, by using an effective performance metric, and present evaluation of our system through a set of experiments. © 2007 Wiley Periodicals, Inc.