Wei Xiao
Nanyang Assistant Professor
Works on control theory and machine learning for safe robotics and multi-agent systems.
Wei Xiao's lab at NTU works on planning, control & multi-robot systems and reasoning & neuro-symbolic AI. 19 papers since 2023, 10 at top venues, mostly CDC and ICML. 2 PhD students.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 53%
- PhD students
- 2
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 0 papers2024 · T1 0
- 17 papers2023 · T1 8
T1 venuesOtherVenues: CDC, ICML, NeurIPS, CoRL, ICLR
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems14 papers
- safe5 papers
- Reasoning & neuro-symbolic AI0 papers
- control theory0 papers
- multi-agent systems0 papers
Paper list
From the lab homepage.
20252 papers
- ICML (T1)ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning
- ICLR (T1)SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
202317 papers
- NeurIPS (T1)Adaptive Online Replanning with Diffusion Models
- CDCAuxiliary-Adaptive Control Barrier Functions for Safety Critical Systems
- T-RO (T1)BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control
- VehicleSecEvaluations of Cyberattacks on Cooperative Control of Connected and Autonomous Vehicles at Bottleneck Points
- TAC (T1)Event-Triggered Control for Safety-Critical Systems With Unknown Dynamics
- NeurIPS (T1)Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
- RA-LIntention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning
- ICRA (T1)Learned Risk Metric Maps for Kinodynamic Systems
- ECCLearning Feasibility Constraints for Control Barrier Functions
- CDCLearning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNet
- L4DCLearning Stability Attention in Vision-based End-to-end Driving Policies
- IROS (T1)Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- DETUM
Matthias Althoff
- Autonomous vehicles & drones
- USCMU
Deepak Pathak
- Manipulation & robot learning
- USMIT
Leslie Kaelbling
- Planning, control & multi-robot systems
- CNPeking
Meng Guo
- Planning, control & multi-robot systems
- USUW
Byron Boots
- Manipulation & robot learning
- USGeorgia Tech
Glen Chou
- Planning, control & multi-robot systems
Your notes
Save this lab to keep notes.
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.