Kiril Solovey
Electrical and Computer Engineering | Technion - Israel Institute of Technology
kirilsol@technion.ac.il
Zisapel 717, Technion
Haifa, Israel
I’m an Assistant Professor at Technion ECE where I lead the Multi-Robot Systems Lab. My research draws upon ideas across the disciplines of computer science, engineering, and transportation science, to develop scalable algorithms with substantial guarantees for control and decision-making of multi-robot systems. To find out about more about my group and teaching activities check out my lab’s page.
I obtained BSc, MSc, and PhD degrees in Computer Science from Tel Aviv University, where I was advised by Dan Halperin. I was a postdoc in Aeronautics and Astronautics, Stanford, with Marco Pavone, and briefly in Computer Science, Technion, with Oren Salzman. For my academic work I received multiple awards, including the Clore Scholars and Fulbright Postdoctoral Fellowships, best paper awards and nominations, and teaching awards. I’m affiliated with Tech.AI, the Autonomous Systems Program, and the Applied Mathematics Program.
I live in Haifa on Mt. Carmel with my incredible spouse Nadia Belkind. I take pleasure in being outdoors (mountain biking and hiking ), traveling around the world , and enjoy food and cooking , music , books , and meditation .
I’m recruiting to my team MSc, PhD students and PostDocs with strong background in math, algorithms, optimization, and robotics to work on autonomous racing and driving , smart mobility , and multi-robot motion planinng
selected publications
- TCNSWhen Efficiency meets Equity in Congestion Pricing and Revenue Refunding SchemesIEEE Transactions on Control of Network Systems, 2023
- T-RONear-Optimal Multi-Robot Motion Planning with Finite SamplingIEEE Transactions on Robotics, 2023
- IJRRToward Certifiable Optimal Motion Planning for Medical Steerable NeedlesInternational Journal of Robotics Research, 2023
- JAIREfficient Large-Scale Multi-Drone Delivery using Transit NetworksJournal of Artificial Intelligence Research, 2021
- ARdRRT*: Scalable and informed asymptotically-optimal multi-robot motion planningAutonomous Robots, 2020
- IJRRThe critical radius in sampling-based motion planningInternational Journal of Robotics Research, 2020
- RA-LProbabilistic Completeness of RRT for Geometric and Kinodynamic Planning With Forward PropagationIEEE Robotics and Automation Letters, 2019
- RSSScalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe OptimizationIn Robotics: Science and Systems, 2019
- RSS
- IJRROn the hardness of unlabeled multi-robot motion planningInternational Journal of Robotics Research, 2016
- T-ASEEfficient Multi-Robot Motion Planning for Unlabeled Discs in Simple PolygonsIEEE Transactions on Automation Science and Engineering, 2015