10 papers
Exact Signed-Distance Control Barrier Functions via Minkowski Operations for Safe Navigation among Polytopes
Yi-Hsuan Chen, Shuo Liu, Wei Xiao +2
Safely navigating polytopic environments while respecting the dynamics, control, and exact geometry of the underlying system is a challenge in robotics. Control barrier functions (…
Sampling-Aware Control Barrier Functions for Safety-Critical and Finite-Time Constrained Control
Shuo Liu, Wei Xiao, Calin A. Belta
In safety-critical control systems, ensuring both safety and feasibility under sampled-data implementations is crucial for practical deployment. Existing Control Barrier Function (…
Safety-Critical Control with Guaranteed Lipschitz Continuity via Filtered Control Barrier Functions
Shuo Liu, Wei Xiao, Calin A. Belta
In safety-critical control systems, ensuring both system safety and smooth control input is essential for practical deployment. Existing Control Barrier Function (CBF) frameworks,…
Feasibility-aware Learning of Robust Temporal Logic Controllers using BarrierNet
Wenliang Liu, Shuo Liu, Wei Xiao +1
Control Barrier Functions (CBFs) have been used to enforce safety and task specifications expressed in Signal Temporal Logic (STL). However, existing CBF-STL approaches typically r…
Taylor-Lagrange Control for Safety-Critical Systems
Wei Xiao, Anni Li
This paper proposes a novel Taylor-Lagrange Control (TLC) method for nonlinear control systems to ensure the safety and stability through Taylor's theorem with Lagrange remainder.…
A Predictive and Sampled-Data Barrier Method for Safe and Efficient Quadrotor Control
Ming Gao, Zhanglin Shangguan, Shuo Liu +3
This paper proposes a cascaded control framework for quadrotor trajectory tracking with formal safety guarantees. First, we design a controller consisting of an outer-loop position…