Multi-Robot Systems Lab
Electrical and Computer Engineering | Technion - Israel Institute of Technology
The Multi-Robot Systems (MRS) lab aims to endow individual robots and multi-robot teams with theory-driven and practical algorithms for tackling complex tasks. Our work explores fundamental questions in, e.g., control, planning, coordination, as well as applications in areas such as autonomous racing and driving, smart mobility, and disaster relief. We draw inspiration from various domains, including mathematics, computational sciences (optimization and artificial intelligence), and engineering (robotics, control, and transportation science), and rigorously test our ideas in theory and on physical hardware.
The lab is headed by Prof. Kiril Solovey from the faculty of Electrical and Computer Engineering, who is affiliated with Tech.AI, the Autonomous Systems Program, and the Applied Mathematics Program. We host the Technion F1TENTH team who develop autonomous racecars for head-to-head racing.
We’re recruiting MSc, PhD students and PostDocs with strong background in math, algorithms, optimization, and robotics to work on autonomous racing and driving
, optimization for autonomous mobility-on-demand
, learning-based methods for model predictive control ![]()
News
| May 07, 2023 | Our paper “Near-Optimal Multi-Robot Motion Planning with Finite Sampling” accepted to IEEE Transactions on Robotics, 2023 |
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| May 01, 2023 | Our paper “Terraforming—Environment Manipulation during Disruptions for Multi-Agent Pickup and Deliver” accepted to International Conference on Automated Planning and Scheduling, 2023 |
| Apr 05, 2023 | Our paper “Toward Certifiable Optimal Motion Planning for Medical Steerable Needles” accepted to International Journal of Robotics Research, 2023 |
| Mar 01, 2023 | Revised version “Probabilistic Completeness of RRT for Geometric and Kinodynamic Planning with Forward Propagation” correcting an (embarasing) error in the proof is out. Shout-out to Albert Wu and Thomas Lew for spotting the mistake. |
| Jul 15, 2022 | Our paper on “Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems” was accepted to the International Foundation of Robotics Research, 2022 |
Selected Publications
- arXivInspection-SPARS: Task-Oriented Sparse Roadmaps for Inspection PlanningarXiv preprint arXiv:2609.35516, 2026
- arXivPlan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion PlanningarXiv preprint arXiv:2410.14660, 2026
- IROSBringing Network Coding into Multi-Robot Systems: Interplay Study for Autonomous Systems over Wireless CommunicationsIn IEEE/RSJ International Conference on Intelligent Robots and Systems, 2026
- arXivRouting and Control for Marine Oil-Spill Cleanup with a Boom-Towing Vessel FleetarXiv preprint 2603.16626, 2026
- WAFRScalable Inspection Planning via Flow-based Mixed Integer Linear ProgrammingIn World Symposium on the Algorithmic Foundations of Robotics (Invited to International Journal of Robotics Research), 2026
- WAFREffective Game-Theoretic Motion Planning via Nested SearchIn World Symposium on the Algorithmic Foundations of Robotics (Invited to International Journal of Robotics Research), 2026
- arXivMotion Planning for Safe Landing of a Human-Piloted ParafoilarXiv preprint 2512.10595, 2025
- CoRL
Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion TreesIn Conference on Robot Learning, 2025; Israeli Association for Automatic Control (IAAC) GSC award - T-ROInspection planning under execution uncertaintyIEEE Transactions on Robotics, 2025
- RSSEffective Sampling for Robot Motion Planning Through the Lens of LatticesIn Robotics: Science and Systems, 2025
- ICRAImpossibility of Self-Organized Aggregation without ComputationIn IEEE International Conference on Robotics and Automation, 2025