Alexander Amini

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control

2023 · IEEE Transactions on Robotics

Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the safety of learned models for control using differentiable control barrier functions (dCBFs). dCBFs are …