9 citations · 12 across the 4 of their papers we have counts for
4 papers
Data-Driven Learning of Safety-Critical Control with Stochastic Control Barrier Functions
Chuanzheng Wang, Yiming Meng, Stephen L. Smith +1
Control barrier functions are widely used to synthesize safety-critical controls. The existence of Gaussian-type noise may lead to unsafe actions and result in severe consequences.…
Safety-Critical Control of Stochastic Systems using Stochastic Control Barrier Functions
Chuanzheng Wang, Yiming Meng, Stephen L. Smith +1
Control barrier functions have been widely used for synthesizing safety-critical controls, often via solving quadratic programs. However, the existence of Gaussian-type noise may l…
Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control
Chuanzheng Wang, Yinan Li, Yiming Meng +2
Control barrier functions have shown great success in addressing control problems with safety guarantees. These methods usually find the next safe control input by solving an onlin…
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks
Chuanzheng Wang, Yinan Li, Stephen L. Smith +1
In this paper, we propose a model-free reinforcement learning method to synthesize control policies for motion planning problems with continuous states and actions. The robot is mo…