2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2025
Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning
Maeva Guerrier, Karthik Soma, Hassan Fouad +1
Safety stands as the primary obstacle preventing the widespread adoption of learning-based robotic systems in our daily lives. While reinforcement learning (RL) shows promise as an…
cs.LG2024★ 2 cited
Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
Maeva Guerrier, Hassan Fouad, Giovanni Beltrame
Reinforcement learning is a powerful technique for developing new robot behaviors. However, typical lack of safety guarantees constitutes a hurdle for its practical application on…