Research output per year
Research output per year
Organization profile
Organisation profile
The Bar Ilan’s Robotics Consortium, stationed in the Computer Science department of Bar Ilan University, is one of the largest computer science research groups in Israel. The consortium conducts research in robotic technologies relevant to industrial and social tasks. Among its research interests you may find 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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Profiles
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Agmon Noa
- Bar-Ilan University, Department of Computer Science - Associate Professor
- Bar-Ilan University, Bar Ilan’s Robotics Consortium
Person: Researcher, Academic
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Kaminka Gal
- Bar-Ilan University, Department of Computer Science - Full Professor
- Bar-Ilan University, BINA Research Center - Medicine
- Bar-Ilan University, Bar Ilan’s Robotics Consortium
Person: Researcher, Academic
Research output
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Explicit gradient learning for black-box optimization
Sarafian, E., Sinay, M., Louzoun, Y., Agmon, N. & Kraus, S., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 8438-8448 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-11).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Non-uniform policies for multi-robot asymmetric perimeter patrol in adversarial domains
Oshrat, Y., Agmon, N. & Kraus, S., 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. An, B., El Fallah Seghrouchni, A. & Sukthankar, G. (eds.). p. 983-991 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Complexity and Approximations in Robust Coalition Formation via Max-Min k-Partitioning,
Ismaili, A., Hazon, N., Watanabe, E., Yokoo, M. & Kraus, S., 1 Jan 2019, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 4, p. 2036-2038 3 p.Research output: Contribution to journal › Article › peer-review