Luca Furieri
Associate Professor of Engineering Science
Researches learning-based optimal control, including learning to optimize with stability guarantees and regret-optimal control.
Luca Furieri's lab at Oxford works on planning, control & multi-robot systems. 7 papers since 2023, 3 at top venues, mostly TAC. 3 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 43%
- PhD students
- 3
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 3 papers2024 · T1 0
- 2 papers2023 · T1 2
T1 venuesOtherVenues: TAC
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems3 papers
- optimal2 papers
- optimal control1 paper
- control1 paper
- stability0 papers
Paper list
From the lab homepage.
20252 papers
- IEEE Open Journal of Control SystemsErratum to “Learning to Boost the Performance of Stable Nonlinear Systems” (opens in a new tab)
- TAC (T1)On the Guarantees of Minimizing Regret in Receding Horizon (opens in a new tab)
20243 papers
- IEEE Open Journal of Control SystemsLearning to Boost the Performance of Stable Nonlinear Systems (opens in a new tab)
- IEEE Control Systems LettersLearning to Optimize With Convergence Guarantees Using Nonlinear System Theory (opens in a new tab)
- European Journal of ControlRegret optimal control for uncertain stochastic systems (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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