Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012 |
| ISBN (electronic) | 978-1-4673-4737-2 |
| Publication status | Published - 2012 |
| Event | 2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012 - Krakow, Poland Duration: 17 Sept 2012 → 21 Sept 2012 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|
Abstract
This work evaluates and improves agent-based approaches for exploration of unknown terrain and finding (shortest) paths to a goal with an unknown location. This scenario is typically found in emergency incidents and for technically assisted search and rescue cases, e.g. when a building or a block of a city has been damaged by an earthquake and as a result, former maps are not valid anymore. In our approach we simulate the exploration of the unknown environment by agents that have different capabilities typically found in the technical assistance systems used in search and rescue operations, such as cameras, sensors, and limited communication abilities. The outcome of our simulation experiments indicates, which composition of a population of agents is best suited for efficient exploration of the unknown terrain, in terms of speed and path length. The results give hints which agent populations should be tried in a real world setting, in a search and rescue test scenario with real robots and sensors.
Keywords
- ant algorithms, cooperating agents, multi agent systems, search and rescue, simulation
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
- Computer Science(all)
- Computer Science Applications
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Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012. 2012. 6489771 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Agent-based approaches for exploration and pathfinding in unknown environments
AU - Becker, Matthias
AU - Blatt, Florian
AU - Szczerbicka, Helena
PY - 2012
Y1 - 2012
N2 - This work evaluates and improves agent-based approaches for exploration of unknown terrain and finding (shortest) paths to a goal with an unknown location. This scenario is typically found in emergency incidents and for technically assisted search and rescue cases, e.g. when a building or a block of a city has been damaged by an earthquake and as a result, former maps are not valid anymore. In our approach we simulate the exploration of the unknown environment by agents that have different capabilities typically found in the technical assistance systems used in search and rescue operations, such as cameras, sensors, and limited communication abilities. The outcome of our simulation experiments indicates, which composition of a population of agents is best suited for efficient exploration of the unknown terrain, in terms of speed and path length. The results give hints which agent populations should be tried in a real world setting, in a search and rescue test scenario with real robots and sensors.
AB - This work evaluates and improves agent-based approaches for exploration of unknown terrain and finding (shortest) paths to a goal with an unknown location. This scenario is typically found in emergency incidents and for technically assisted search and rescue cases, e.g. when a building or a block of a city has been damaged by an earthquake and as a result, former maps are not valid anymore. In our approach we simulate the exploration of the unknown environment by agents that have different capabilities typically found in the technical assistance systems used in search and rescue operations, such as cameras, sensors, and limited communication abilities. The outcome of our simulation experiments indicates, which composition of a population of agents is best suited for efficient exploration of the unknown terrain, in terms of speed and path length. The results give hints which agent populations should be tried in a real world setting, in a search and rescue test scenario with real robots and sensors.
KW - ant algorithms
KW - cooperating agents
KW - multi agent systems
KW - search and rescue
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=84876382126&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2012.6489771
DO - 10.1109/ETFA.2012.6489771
M3 - Conference contribution
AN - SCOPUS:84876382126
SN - 978-1-4673-4735-8
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012
T2 - 2012 IEEE 17th International Conference on Emerging Technologies and Factory Automation, ETFA 2012
Y2 - 17 September 2012 through 21 September 2012
ER -