2020
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
IROS 2020poster
Control barrier functions are mathematical constructs used to guarantee safety for robotic systems. When integrated as constraints in a quadratic programming optimization problem, instantaneous control synthesis with real-time performance demands can be achieved for robotics applications. Prevailing…