TY - GEN
T1 - Robotic strategic behavior in adversarial environments
AU - Agmon, Noa
N1 - Funding Information: ∗This research was funded in part by ISF grant 1337/15
PY - 2017
Y1 - 2017
N2 - The presence of robots in areas containing threats is becoming more prevalent, due to their ability to perform missions accurately, efficiently, and with little risk to humans. Having the robots handle adversarial forces in missions such as search and rescue, intelligence gathering, border protection and humanitarian assistance, raises many new, exciting research challenges. This paper describes recent research achievements in areas related to robotic mission planning in adversarial environments, including multi-robot patrolling, robotic coverage, multirobot formation, and navigation, and suggests possible future research directions.
AB - The presence of robots in areas containing threats is becoming more prevalent, due to their ability to perform missions accurately, efficiently, and with little risk to humans. Having the robots handle adversarial forces in missions such as search and rescue, intelligence gathering, border protection and humanitarian assistance, raises many new, exciting research challenges. This paper describes recent research achievements in areas related to robotic mission planning in adversarial environments, including multi-robot patrolling, robotic coverage, multirobot formation, and navigation, and suggests possible future research directions.
UR - http://www.scopus.com/inward/record.url?scp=85031933395&partnerID=8YFLogxK
U2 - 10.24963/ijcai.2017/731
DO - 10.24963/ijcai.2017/731
M3 - منشور من مؤتمر
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 5106
EP - 5110
BT - 26th International Joint Conference on Artificial Intelligence, IJCAI 2017
A2 - Sierra, Carles
T2 - 26th International Joint Conference on Artificial Intelligence, IJCAI 2017
Y2 - 19 August 2017 through 25 August 2017
ER -