Lin Zhao
Assistant Professor
Works on control, optimisation and learning theory with applications to multi-agent systems and UAVs.
Lin Zhao's lab at NUS works on planning, control & multi-robot systems, autonomous vehicles & drones and learning theory & optimization. 22 papers since 2023, 13 at top venues, mostly ICRA and IROS. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 59%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 3 · collecting
- 6 papers2025 · T1 4
- 5 papers2024 · T1 3
- 5 papers2023 · T1 3
T1 venuesOtherVenues: ICRA, IROS, TAC, AAAI, CDC
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems12 papers
- Learning theory & optimization7 papers
- Autonomous vehicles & drones1 paper
- uavs0 papers
- optimisation0 papers
Paper list
From DBLP.
20266 papers
- IEEE Robotics Autom. Lett.DiffPF: Differentiable Particle Filtering With Generative Sampling via Conditional Diffusion Models (opens in a new tab)
- ICLR (T1)Finite-Time Analysis of Actor-Critic Methods with Deep Neural Network Approximation (opens in a new tab)
- TAC (T1)Low-Complexity Q-Value Iteration Learning for Linear Quadratic Regulators Without Initial Stabilizing Gain (opens in a new tab)
- IEEE Robotics Autom. Lett.MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments (opens in a new tab)
- IEEE Robotics Autom. Lett.SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones via Reinforcement Learning (opens in a new tab)
- ICRA (T1)TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems (opens in a new tab)
20256 papers
- IROS (T1)DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models (opens in a new tab)
- CDCIncremental Policy Iteration for Unknown Nonlinear Systems with Stability and Performance Guarantees (opens in a new tab)
- IROS (T1)MARS-FTCP: Robust Fault-Tolerant Control and Agile Trajectory Planning for Modular Aerial Robot Systems (opens in a new tab)
- ICML (T1)On the Convergence of Continuous Single-timescale Actor-critic (opens in a new tab)
- ICRA (T1)Robust Self-Reconfiguration for Fault-Tolerant Control of Modular Aerial Robot Systems (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances (opens in a new tab)
20245 papers
- IJCAI (T1)Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator (opens in a new tab)
- IEEE Trans. RoboticsNeural Moving Horizon Estimation for Robust Flight Control (opens in a new tab)
- TAC (T1)On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control (opens in a new tab)
- IEEE Trans. Cybern.Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback (opens in a new tab)
- ICRA (T1)Trust-Region Neural Moving Horizon Estimation for Robots (opens in a new tab)
20235 papers
- NeurIPS (T1)Finite-Time Analysis of Single-Timescale Actor-Critic (opens in a new tab)
- AAAI (T1)Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator (opens in a new tab)
- ICRA (T1)Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors (opens in a new tab)
- IEEE Trans. Cybern.Unified Mapping Function-Based Neuroadaptive Control of Constrained Uncertain Robotic Systems (opens in a new tab)
- Autom.Unifying performance specifications in tracking control of MIMO nonlinear systems with actuation faults (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NUSFall 2027
School of Computing PhD in Computer Science
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
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- The lab site and the paper record do not agree.
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- Alumni
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Tiers are venue classifications, not lab rankings.
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