Kiril Solovey

Assistant Professor | Electrical and Computer Engineering, Technion

prof_pic.jpg

kirilsol@technion.ac.il

Meyer 654, Technion

Haifa, Israel

I’m a roboticist specializing in multi-robot systems and their applications to smart mobility. 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.

I obtained BSc, MSc, and PhD degrees in Computer Science from Tel Aviv University, where I was advised by Dan Halperin. I then was a postdoc in Aeronautics and Astronautics, Stanford University, in Marco Pavone’s group, and in Computer Science, Technion, in Oren Salzman’s group. For my academic work I received multiple awards, including the Clore Scholars and Fulbright Postdoctoral Fellowships, best paper awards and nominations (1,2,3,4,5), and teaching awards.

Besides my academic interests, I take pleasure in being outdoors (mountain biking :mountain_bicyclist: and hiking :national_park:), traveling around the world :cityscape:, and enjoy food and cooking :bento:, music :notes:, books :books:, and meditation :cloud:.

news

May 5, 2022 Our paper on “Leveraging Experience in Lifelong Multi-Agent Pathfinding” got accepted into the International Symposium on Combinatorial Search
Mar 15, 2022 :wave: The Technion Robotics Group is recruiting postdocs!
Mar 1, 2022 :sunrise_over_mountains: Started an Assistant Professor position at the Technion

selected publications

  1. JAIR
    Shushman Choudhury,  Kiril Solovey, Mykel J. Kochenderfer, and Marco Pavone:
    Efficient Large-Scale Multi-Drone Delivery using Transit Networks.
    Journal of Artificial Intelligence Research (2021).
  2. EAAMO
    Devansh Jalota,  Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, and Marco Pavone:
    When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes.
    In Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (2021).
  3. ICRA
    Dror Dayan,  Kiril Solovey, Marco Pavone, and Dan Halperin:
    Near-Optimal Multi-Robot Motion Planning with Finite Sampling.
    In IEEE International Conference on Robotics and Automation (2021).
  4. AR
    Rahul Shome,  Kiril Solovey, Andrew Dobson, Dan Halperin, and Kostas E. Bekris:
    dRRT*: Scalable and informed asymptotically-optimal multi-robot motion planning.
    Autonomous Robots (2020).
  5. IJRR
    Kiril Solovey, and Michal Kleinbort:
    The critical radius in sampling-based motion planning.
    International Journal of Robotics Research (2020).
  6. RSS
    Kiril Solovey, Mauro Salazar, and Marco Pavone:
    Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization.
    In Robotics: Science and Systems (2019).
  7. RSS
    Kiril Solovey, and Michal Kleinbort:
    The Critical Radius in Sampling-based Motion Planning.
    In Robotics: Science and Systems (2018).
  8. IJRR
    Kiril Solovey, and Dan Halperin:
    On the hardness of unlabeled multi-robot motion planning.
    International Journal of Robotics Research (2016).
  9. T-ASE
    Aviv Adler, Mark Berg, Dan Halperin, and Kiril Solovey :
    Efficient Multi-Robot Motion Planning for Unlabeled Discs in Simple Polygons.
    IEEE Transactions on Automation Science and Engineering (2015).