activity
20182026
most citedControl Barrier Functions for Systems with High Relative Degree

12 citations · 64 across the 38 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

eess.SY2023

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

Anni Li, Christos G. Cassandras, Wei Xiao

This paper studies safe driving interactions between Human-Driven Vehicles (HDVs) and Connected and Automated Vehicles (CAVs) in mixed traffic where the dynamics and control polici…

cs.MA2023

Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles

H M Sabbir Ahmad, Ehsan Sabouni, Wei Xiao +2

We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to navigate through a conflict area. Adversarial attacks such as Sybil attacks can cause…

cs.RO2023

Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions: a Test Bed for Safe Optimal Merging

Ehsan Sabouni, H. M. Sabbir Ahmad, Wei Xiao +2

We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such…

cs.LG2023★ 4 cited

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

Wei Xiao, Tsun-Hsuan Wang, Chuang Gan +1

Diffusion model-based approaches have shown promise in data-driven planning, but there are no safety guarantees, thus making it hard to be applied for safety-critical applications.…

eess.SY2023

Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNet

Wenliang Liu, Wei Xiao, Calin Belta

In this paper, we consider the problem of learning a neural network controller for a system required to satisfy a Signal Temporal Logic (STL) specification. We exploit STL quantita…

cs.RO2023

Learning Stability Attention in Vision-based End-to-end Driving Policies

Tsun-Hsuan Wang, Wei Xiao, Makram Chahine +3

Modern end-to-end learning systems can learn to explicitly infer control from perception. However, it is difficult to guarantee stability and robustness for these systems since the…

math.OC2023

Auxiliary-Variable Adaptive Control Barrier Functions for Safety Critical Systems

Shuo Liu, Wei Xiao, Calin A. Belta

This paper studies safety guarantees for systems with time-varying control bounds. It has been shown that optimizing quadratic costs subject to state and control constraints can be…

math.OC2023

Learning Feasibility Constraints for Control Barrier Functions

Wei Xiao, Christos G. Cassandras, Calin A. Belta

It has been shown that optimizing quadratic costs while stabilizing affine control systems to desired (sets of) states subject to state and control constraints can be reduced to a…

cs.RO2023

Learned Risk Metric Maps for Kinodynamic Systems

Ross Allen, Wei Xiao, Daniela Rus

We present Learned Risk Metric Maps (LRMM) for real-time estimation of coherent risk metrics of high dimensional dynamical systems operating in unstructured, partially observed env…