The scientist’s investigation covers issues in Robot, Artificial intelligence, Robustness, Patrolling and Motion planning. His Robot study combines topics from a wide range of disciplines, such as Adversarial system, Adversary, Terrain and Mathematical optimization. His research integrates issues of Frontier, Machine learning and Process in his study of Artificial intelligence.
The study incorporates disciplines such as State and Human–computer interaction in addition to Machine learning. His work in Human–computer interaction covers topics such as Intelligent agent which are related to areas like Teamwork. His studies examine the connections between Robustness and genetics, as well as such issues in Distributed computing, with regards to Adaptation and Adaptive system.
Gal A. Kaminka mainly investigates Artificial intelligence, Robot, Teamwork, Task and Human–computer interaction. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Social comparison theory and Computer vision. His research in Robot intersects with topics in Adversarial system, Mathematical optimization and Patrolling.
His studies deal with areas such as Key, Software engineering and Knowledge management as well as Teamwork. His study focuses on the intersection of Task and fields such as Set with connections in the field of Advice. His research investigates the connection between Human–computer interaction and topics such as Mirroring that intersect with issues in Goal recognition.
Gal A. Kaminka focuses on Artificial intelligence, Robot, Mirroring, Human–computer interaction and Goal recognition. His Artificial intelligence research incorporates themes from Machine learning, Contrast, Task and Computer vision. The Robot study combines topics in areas such as Swarm behaviour, Mathematical optimization and Real-time computing.
Gal A. Kaminka has included themes like Plan recognition and Plan in his Human–computer interaction study. The various areas that Gal A. Kaminka examines in his Goal recognition study include Motion, Heuristics and Heuristic. His Robotics research incorporates elements of Computer security, Adversary, Field and Adversarial system.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Multi-robot perimeter patrol in adversarial settings
N. Agmon;S. Kraus;G.A. Kaminka.
international conference on robotics and automation (2008)
Multi-robot area patrol under frequency constraints
Yehuda Elmaliach;Noa Agmon;Gal A. Kaminka.
Annals of Mathematics and Artificial Intelligence (2009)
Ad hoc autonomous agent teams: collaboration without pre-coordination
Peter Stone;Gal A. Kaminka;Sarit Kraus;Jeffrey S. Rosenschein.
national conference on artificial intelligence (2010)
Gamebots: A 3D Virtual World Test-Bed For Multi-Agent Research
Rogelio Adobbati;Andrew N. Marshall;Andrew Scholer;Sheila Tejada.
(2001)
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Gal A. Kaminka;David V. Pynadath;Milind Tambe.
Journal of Artificial Intelligence Research (2002)
GameBots: a flexible test bed for multiagent team research
Gal A. Kaminka;Manuela M. Veloso;Steve Schaffer;Chris Sollitto.
Communications of The ACM (2002)
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison
Jason Tsai;Natalie Fridman;Emma Bowring;Matthew Brown.
adaptive agents and multi-agents systems (2011)
Building agent teams using an explicit teamwork model and learning
Milind Tambe;Jafar Adibi;Yaser Al-Onaizan;Ali Erdem.
Artificial Intelligence (1999)
Redundancy, Efficiency and Robustness in Multi-Robot Coverage
N. Hazon;G.A. Kaminka.
international conference on robotics and automation (2005)
Fast and complete symbolic plan recognition
Dorit Avrahami-Zilberbrand;Gal A. Kaminka.
international joint conference on artificial intelligence (2005)
Profile was last updated on December 6th, 2021.
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