2 citations · 2 across the 3 of their papers we have counts for
4 papers
VISTA: Scale-Aware Visual Navigation via Action History Conditioning
Maeva Guerrier, Koki Kobayashi, Simon Roy +2
Vision Navigation Foundation Models (VNMs) promise end-to-end learned navigation policies capable of zero-shot deployment across diverse embodiments and environments. To maintain g…
Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
Maeva Guerrier, Karthik Soma, Jana Pavlasek +1
Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluati…
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…
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…