Francesco Borrelli
Professor of Mechanical Engineering
Studies model predictive control and learning for autonomous vehicles and robots.
Francesco Borrelli's lab at UC Berkeley works on planning, control & multi-robot systems, autonomous vehicles & drones and embodied & active vision. 36 papers since 2023, 5 at top venues, mostly CDC and ACC. 6 PhD students. 41 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 14%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 41
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 0 · collecting
- 9 papers2025 · T1 2
- 9 papers2024 · T1 1
- 13 papers2023 · T1 2
T1 venuesOtherVenues: CDC, ACC, IFAC, ICRA, IROS
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems24 papers
- Autonomous vehicles & drones12 papers
- predictive control10 papers
- model predictive8 papers
- Embodied & active vision1 paper
Paper list
From the lab homepage.
20265 papers
- IFACConstrained Policy Optimization via Sampling-Based Weight-Space Projection
- International Journal of Urban SciencesParking of connected automated vehicles: vehicle control, parking assignment, and multi-agent simulation (opens in a new tab)
- AVEC'26 International Symposium on Advanced Vehicle ControlRacing a Wheeled Quadruped: Active Load Transfer Mitigation via Model Predictive Control (opens in a new tab)
- Preprints of the IFAC World CongressSafe Adaptive-Sampling Control via Robust M-Step Hold Model Predictive Control (opens in a new tab)
- IFACState-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning
20259 papers
- IROS (T1)A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
- TAC (T1)Approximate Solution of Stochastic Infinite Horizon Optimal Control Problems for Constrained Linear Uncertain Systems
- International Journal of Systems Science: Operations \& LogisticsClustering heuristics for Stochastic Energy Capacitated Vehicle Routing Problem (ECVRP)
- CDCEnergy-Aware Lane Planning for Connected Electric Vehicles in Urban Traffic: Design and Vehicle-in-the-Loop Validation
- IEEE Transactions on Control Systems TechnologyGuest Editorial Special Issue on Intelligent Decision-Making, Motion Planning, and Control of Automated Vehicles in Interaction-Driven Traffic Scenarios
- IEEE Control Systems LettersOn Sampling Time and Invariance
- IEEE Transactions on Control Systems TechnologyPredictive Control for Autonomous Driving With Uncertain, Multimodal Predictions
- ITSCRegulation-Aware Game-Theoretic Motion Planning for Autonomous Racing
- CDCRobust MPC for Uncertain Linear Systems - Combining Model Adaptation and Iterative Learning
20249 papers
- IEEE Transactions on Vehicular TechnologyA Distributed Multi-Vehicle Coordination Algorithm for Navigation in Tight Environments
- ACCAutomatic Control in the Era of Artificial Intelligence
- CDCData-Driven Multi-Modal Learning Model Predictive Control
- IVEco-driving under localization uncertainty for connected vehicles on Urban roads: Data-driven approach and Experiment verification
- IEEE Transactions on Intelligent VehiclesEnergy-efficient Predictive Control for Connected, Automated Driving under Localization Uncertainty
- CDCLearning Hierarchical Control For Multi-Agent Capacity-Constrained Systems
- CDCLearning hierarchical control systems for autonomous systems with energy constraints
- ICRA (T1)Learning model predictive control with error dynamics regression for autonomous racing
- IVScalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
202313 papers
- IROS (T1)A gaussian process model for opponent prediction in autonomous racing
- ICRA (T1)A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria
- —Data-Driven Optimization for Deposition with Degradable Tools
- IVEnergy-Efficient Lane Changes Planning and Control for Connected Autonomous Vehicles on Urban Roads
- IVIncreasing Electric Vehicles Utilization in Transit Fleets using Learning, Predictions, Optimization, and Automation
- IEEE Control Systems LettersLearning for Online Mixed-Integer Model Predictive Control With Parametric Optimality Certificates
- IEEE Control Systems LettersModel Predictive Control in Partially Observable Multi-Modal Discrete Environments
- Vehicle System DynamicsModels for ground vehicle control on nonplanar surfaces
- IFACMulti-vehicle conflict resolution in highly constrained spaces by merging optimal control and reinforcement learning
- ACCOutput Feedback Stochastic MPC with Hard Input Constraints
- IVReinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces
- ACCSafe Human-Robot Collaborative Transportation via Trust-Driven Role Adaptation
Where alumni went41 listed
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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