Nick Hawes
Professor of Artificial Intelligence and Robotics
Applies AI to long-term autonomy for mobile robots, including planning under uncertainty and shared autonomy with humans.
Nick Hawes's lab at Oxford works on planning, control & multi-robot systems and probabilistic & causal inference. 44 papers since 2023, 18 at top venues, mostly NeurIPS and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 41%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 1 · collecting
- 19 papers2025 · T1 7
- 12 papers2024 · T1 5
- 10 papers2023 · T1 5
T1 venuesOtherVenues: NeurIPS, AAAI, IROS, AAMAS, Autonomous Robots
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems27 papers
- Probabilistic & causal inference3 papers
- long-term3 papers
- autonomy0 papers
- shared autonomy0 papers
Paper list
From the lab homepage.
20263 papers
- IJRR (T1)CC-VPSTO: Chance-Constrained Via-Point-Based Stochastic Trajectory Optimisation for Online Robot Motion Planning Under Uncertainty (opens in a new tab)
- Companion Proceedings of the ACM/IEEE International Conference on Human-Robot InteractionFailing Forward: Design and Deployment Lessons from Real-World Human-Robot Interaction (opens in a new tab)
- Aamas Proceedings of the International Conference on Autonomous Agents and Multiagent SystemsThink Fast! Learning to Control Online Reasoning in Stochastic Environments (opens in a new tab)
202519 papers
- IEEE Transactions on Field Robotics<i>AutoInspect</i>: Towards Long-Term Autonomous Inspection and Monitoring (opens in a new tab)
- IJCAI (T1)A finite-state controller based offline solver for deterministic POMDPs (opens in a new tab)
- Transportation Research Part F Traffic Psychology and BehaviourA transparency paradox? Investigating the impact of explanation specificity and autonomous vehicle imperfect detection capabilities on passengers (opens in a new tab)
- Methods in Ecology and EvolutionBiodiversity research requires more motors in air, water and on land (opens in a new tab)
- ECMRCHiPS: Composing Hierarchical Pareto Solutions for Scalable Planning in Multi-Objective MDPs (opens in a new tab)
- IROS (T1)Decremental Dynamics Planning for Robot Navigation (opens in a new tab)
- ICRA (T1)Generating causal explanations of vehicular agent behavioural interactions with learnt reward profiles (opens in a new tab)
- HRI (T1)Group decision-making in robot teleoperation: two heads are better than one (opens in a new tab)
- ACM IEEE International Conference on Human Robot InteractionHuman-Robot Interaction in Extreme and Challenging Environments (opens in a new tab)
- NeurIPS (T1)Improving Regret Approximation for Unsupervised Dynamic Environment Generation (opens in a new tab)
- RASLUMOS: language-conditioned imitation learning with world models (opens in a new tab)
- IROS (T1)Multi-Agent Pickup and Delivery with Mobile Pickups (opens in a new tab)
202412 papers
- ACM Transactions on Autonomous and Adaptive SystemsA Framework for Simultaneous Task Allocation and Planning under Uncertainty (opens in a new tab)
- OCEANS Conference and ExpositionA marine autonomous systems digital twin; bringing value to researchers, data users and vehicle operations (opens in a new tab)
- International Conference on Intelligent Autonomous Systems (IAS18).Analysing the effects of congestion on hybrid order picking systems using a discrete-event simulator (opens in a new tab)
- Journal of EcologyExperimental drought reduces the productivity and stability of a calcareous grassland (opens in a new tab)
- ECAIHierarchical planning for resource-constrained long-term monitoring missions in time-varying environments (opens in a new tab)
- AAMAS (T1)JaxMARL: multi-agent RL environments and algorithms in JAX
- AAMAS (T1)Multi-robot allocation of assistance from a shared uncertain operator (opens in a new tab)
- NeurIPS (T1)One risk to rule them all: a risk-sensitive perspective on model-based offline reinforcement learning (opens in a new tab)
- IROS (T1)Planning for long-term monitoring missions in time-varying environments (opens in a new tab)
- Autonomous RobotsPlanning under uncertainty for safe robot exploration using Gaussian process prediction (opens in a new tab)
- Journal of Artificial Intelligence ResearchRight place, right time: proactive multi-robot task allocation under spatiotemporal uncertainty (opens in a new tab)
- AAAI (T1)Stop! planner time: metareasoning for probabilistic planning using learned performance profiles (opens in a new tab)
202310 papers
- Proceedings of Machine Learning ResearchBayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments
- Autonomous RobotsCorrection: Efficiently exploring for human robot interaction: partially observable Poisson processes (Autonomous Robots, (2023), 47, 1, (121-138), 10.1007/s10514-022-10070-9) (opens in a new tab)
- ECMRDifficulty-aware time-bounded planning under uncertainty for large-scale robot missions (opens in a new tab)
- NeurIPS (T1)Monte Carlo tree search with Boltzmann exploration
- AAAI (T1)Multi-Unit Auctions for Allocating Chance-Constrained Resources
- AAAI (T1)Planning with hidden parameter polynomial MDPs (opens in a new tab)
- NeurIPS (T1)RAMBO-RL: robust adversarial model-based offline reinforcement learning
- Frontiers in Artificial Intelligence and ApplicationsReinforcement Learning for Bandits with Continuous Actions and Large Context Spaces (opens in a new tab)
- Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent SystemsRisk-Constrained Planning for Multi-Agent Systems with Shared Resources (opens in a new tab)
- ICRA (T1)VP-STO: via-point-based stochastic trajectory optimization for reactive robot behavior (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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