TY - JOUR
T1 - Sensor-based exploration of an unknown area with multiple mobile agents
AU - Olcay, Ertug
AU - Bodeit, Jens
AU - Lohmann, Boris
N1 - Publisher Copyright:
Copyright © 2020 The Authors.
PY - 2020
Y1 - 2020
N2 - The research field of effective coverage of a certain area has received considerable attention, especially in exploration tasks. The ability of robots to localize themselves in a map and to plan elaborated motions are the basics of many coverage approaches. Cooperative, multiple robots can be employed in order to accelerate exploration missions. Over the past years, many methods have been investigated for this purpose. However, either the robots know the obstacle locations or they are not capable of identifying their environment completely. In this study, we propose a sensor-based framework to cover a given space simultaneously with multiple mobile agents in a cooperative fashion without any prior knowledge of the environment. With our approach, the agents are capable of avoiding collisions with different shaped obstacles and autonomously constructing a map of the whole area by identifying inaccessible domains in the map.
AB - The research field of effective coverage of a certain area has received considerable attention, especially in exploration tasks. The ability of robots to localize themselves in a map and to plan elaborated motions are the basics of many coverage approaches. Cooperative, multiple robots can be employed in order to accelerate exploration missions. Over the past years, many methods have been investigated for this purpose. However, either the robots know the obstacle locations or they are not capable of identifying their environment completely. In this study, we propose a sensor-based framework to cover a given space simultaneously with multiple mobile agents in a cooperative fashion without any prior knowledge of the environment. With our approach, the agents are capable of avoiding collisions with different shaped obstacles and autonomously constructing a map of the whole area by identifying inaccessible domains in the map.
KW - Area exploration
KW - Cooperative control
KW - Motion planning
KW - Multi-agent systems
UR - http://www.scopus.com/inward/record.url?scp=85107725015&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2020.12.2607
DO - 10.1016/j.ifacol.2020.12.2607
M3 - Conference article
AN - SCOPUS:85107725015
SN - 1474-6670
VL - 53
SP - 9621
EP - 9627
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
T2 - 21st IFAC World Congress 2020
Y2 - 12 July 2020 through 17 July 2020
ER -