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This is the contribution of Simon Dobers, Julian Balletshofer, and Christian Nathaus for the 2022 Reinforcement Provably-Safe Neural Controllers for Safety-Critical Systems- Experiment 2 Videos of Tests 1 and 2 reported in: Anna Mannucci, Lucia Pallottino and Federico Pecora. Scott Niekum University of Texas at Austin Assistant Professor & Director of the Personal Autonomous Real-world autonomous vehicles often operate in a priori unknown environments. Since most of these systems are
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Provably-Safe Neural Controllers for Safety-Critical Systems- Experiment 2
Provably Safe in the Wild - Exponential Control Barrier Function on Quadrotor
Provably Safe and Live Multi-Robot Coordination
Provably Safe AI – Steve Omohundro
Provably Safe Multi-Robot Coordination with Unreliable Communication - Tests in Simulation
Provably Safe Multi-Robot Coordination with Unreliable Communication - Tests with Real Robots
RI Seminar: Scott Niekum : Scaling Probabilistically Safe Learning to Robotics
Provably Safe Autonomous Navigation in Unknown Environments
POLICEd RL: Learning Robot Control Policies with Provable Satisfaction of Hard Constraints
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Last Updated: June 11, 2026
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