Research output per year
Research output per year
Organization profile
Organisation profile
Bar Ilan’s Robotics Consortium at the Computer Science and Artificial Intelligence Department is home to faculty members and researchers who conduct cutting edge research in intelligent robots, algorithms for multi-robot systems, human-robot interaction, molecular robotics, and robot swarms.
The consortium conducts research in robotic technologies relevant to industrial and social tasks. Among its research interests: security robotics, multi-robot systems, cognitive modeling and Robocup – soccer playing robots. In addition Bar Ilan’s Robotics Consortium also works closely with government and industry clients in order to develop and implement cutting edge robotic technologies.
Bar Ilan’s Robotics Consoritum consists of three labs headed by Prof. Gal Kaminka, Dr. Eli Kolberg and Dr. Noa Agmon.
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Collaborations and top research areas from the last five years
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Profiles
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Agmon Noa
- Bar-Ilan University, Department of Computer Science and Artificial Intelligence - Deputy Head of the Department of Computer Science, Full Professor
- Bar-Ilan University, Bar Ilan Robotics Consortium (BIRC)
Person: Researcher, Academic
Research output
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Coalition Tactics: Bribery and Control in Parliamentary Elections
Barr, H., Hartman, E., Aumann, Y. & Kraus, S., 24 May 2026, AAMAS 2026 - Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems. p. 3217-3219 3 p. (AAMAS 2026 - Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization
Kfir, Y., Sarafian, E., Louzoun, Y. & Kraus, S., 1 Jan 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 43 ed. p. 36991-36999 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 43).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
Boggess, K., Kraus, S. & Feng, L., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 21 ed. p. 17357-17365 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 21).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access