Wei Xiao

Orcid: 0000-0001-9622-6415

Affiliations:
  • Boston University, Division of Systems Engineering, Brookline, MA, USA


According to our database1, Wei Xiao authored at least 59 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions.
CoRR, 2024

2023
Event-Triggered Control for Safety-Critical Systems With Unknown Dynamics.
IEEE Trans. Autom. Control., July, 2023

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control.
IEEE Trans. Robotics, June, 2023

Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning.
IEEE Robotics Autom. Lett., March, 2023

Decentralized Time and Energy-Optimal Control of Connected and Automated Vehicles in a Roundabout With Safety and Comfort Guarantees.
IEEE Trans. Intell. Transp. Syst., January, 2023

Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions.
CoRR, 2023

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.
CoRR, 2023

Safe Optimal Interactions Between Automated and Human-Driven Vehicles in Mixed Traffic with Event-triggered Control Barrier Functions.
CoRR, 2023

Feasibility-Guaranteed Safety Critical Control with Applications to Heterogeneous Platoons.
CoRR, 2023

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models.
CoRR, 2023

Auxiliary-Adaptive Control Barrier Functions for Safety Critical Systems.
CoRR, 2023

Adaptive Online Replanning with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Stability Attention in Vision-based End-to-end Driving Policies.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning.
IROS, 2023

Learned Risk Metric Maps for Kinodynamic Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the Forward Invariance of Neural ODEs.
Proceedings of the International Conference on Machine Learning, 2023

Learning Feasibility Constraints for Control Barrier Functions.
Proceedings of the European Control Conference, 2023

Measuring Interpretability of Neural Policies of Robots with Disentangled Representation.
Proceedings of the Conference on Robot Learning, 2023

Auxiliary- Variable Adaptive Control Barrier Functions for Safety Critical Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNet.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions: a Test Bed for Safe Optimal Merging.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
A General Framework for Decentralized Safe Optimal Control of Connected and Automated Vehicles in Multi-Lane Signal-Free Intersections.
IEEE Trans. Intell. Transp. Syst., 2022

Adaptive Control Barrier Functions.
IEEE Trans. Autom. Control., 2022

High-Order Control Barrier Functions.
IEEE Trans. Autom. Control., 2022

Interpreting Neural Policies with Disentangled Tree Representations.
CoRR, 2022

On the Forward Invariance of Neural ODEs.
CoRR, 2022

Optimal Control of Connected Automated Vehicles with Event/Self-Triggered Control Barrier Functions.
CoRR, 2022

Self-Triggered Coordination Control of Connected Automated Vehicles in Traffic Networks.
CoRR, 2022

Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions.
CoRR, 2022

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving.
CoRR, 2022

Sufficient conditions for feasibility of optimal control problems using Control Barrier Functions.
Autom., 2022

Feasibility Guaranteed Traffic Merging Control Using Control Barrier Functions.
Proceedings of the American Control Conference, 2022

Control Barrier Functions for Systems with Multiple Control Inputs.
Proceedings of the American Control Conference, 2022

2021
Optimal control and learning for safety-critical autonomous systems
PhD thesis, 2021

Safety-Critical Optimal Control for Autonomous Systems.
J. Syst. Sci. Complex., 2021

BarrierNet: A Safety-Guaranteed Layer for Neural Networks.
CoRR, 2021

Rule-based Evaluation and Optimal Control for Autonomous Driving.
CoRR, 2021

Bridging the gap between optimal trajectory planning and safety-critical control with applications to autonomous vehicles.
Autom., 2021

Decentralized optimal merging control for Connected and Automated Vehicles with safety constraint guarantees.
Autom., 2021

Decentralized Time and Energy-Optimal Control of Connected and Automated Vehicles in a Roundabout.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Rule-based optimal control for autonomous driving.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Decentralized Optimal Merging Control for Connected and Automated Vehicles on Curved Roads.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Event-Triggered Safety-Critical Control for Systems with Unknown Dynamics.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Supervisory Control for Stabilization under Multiple Local Average Payoff Constraints.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

High Order Control Lyapunov-Barrier Functions for Temporal Logic Specifications.
Proceedings of the 2021 American Control Conference, 2021

2020
A General Framework for Decentralized Safe Optimal Control of Connected and Automated Vehicles in Multi-Lane Intersections.
CoRR, 2020

Adaptive Control Barrier Functions for Safety-Critical Systems.
CoRR, 2020

Decentralized Optimal Control in Multi-lane Merging for Connected and Automated Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Feasibility-Guided Learning for Constrained Optimal Control Problems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Decentralized Optimal Merging Control for Connected and Automated Vehicles with Optimal Dynamic Resequencing.
Proceedings of the 2020 American Control Conference, 2020

2019
Feasibility-Guided Learning for Robust Control in Constrained Optimal Control Problems.
CoRR, 2019

Decentralized Merging Control in Traffic Networks with Noisy Vehicle Dynamics: a Joint Optimal Control and Barrier Function Approach.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Decentralized merging control in traffic networks: a control barrier function approach.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Conditions for Improving the Computational Efficiency of Decentralized Optimal Merging Controllers for Connected and Automated Vehicles.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Control Barrier Functions for Systems with High Relative Degree.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Decentralized Optimal Merging Control for Connected and Automated Vehicles.
Proceedings of the 2019 American Control Conference, 2019


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