Media Summary: This is the contribution of Simon Dobers, Julian Balletshofer, and Christian Nathaus for the 2022 Reinforcement Stuart Russell (UC Berkeley) Theoretical Aspects of ... Steve Omohundro sketches how AI technologies

Provably Safe Learning Based Robot - Detailed Analysis & Overview

This is the contribution of Simon Dobers, Julian Balletshofer, and Christian Nathaus for the 2022 Reinforcement Stuart Russell (UC Berkeley) Theoretical Aspects of ... Steve Omohundro sketches how AI technologies Real-world autonomous vehicles often operate in a priori unknown environments. Since most of these systems are This is the supplementary video for our ICRA 2022 article "

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Provably Safe Learning-Based Robot Control (Alec Farid, PhD Defense)
Safe Learning in Uncertain Robotic Systems
Safe Reinforcement Learning on a Real Robot!
ICRA 2022 - Provably Safe RL for Manipulation next to Humans
Provably Safe and Beneficial AI
Provably Safe and Live Multi-Robot Coordination
Provably Safe Multi-Robot Coordination with Unreliable Communication - Tests with Real Robots
Scaling Probabilistically Safe Learning to Robotics (Scott Niekum, University of Texas, Austin)
Provably Safe AGI - MIT Mechanistic Interpretability Conference - May 7, 2023
POLICEd RL: Learning Robot Control Policies with Provable Satisfaction of Hard Constraints
Provably Safe Autonomous Navigation in Unknown Environments
ICRA 2022 Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
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Provably Safe Learning-Based Robot Control (Alec Farid, PhD Defense)

Provably Safe Learning-Based Robot Control (Alec Farid, PhD Defense)

Alec Farid PhD Defense: Jan 25, 2023

Safe Learning in Uncertain Robotic Systems

Safe Learning in Uncertain Robotic Systems

Journal paper here: https://arxiv.org/abs/1705.01292

Safe Reinforcement Learning on a Real Robot!

Safe Reinforcement Learning on a Real Robot!

This is the contribution of Simon Dobers, Julian Balletshofer, and Christian Nathaus for the 2022 Reinforcement

ICRA 2022 - Provably Safe RL for Manipulation next to Humans

ICRA 2022 - Provably Safe RL for Manipulation next to Humans

I present my paper "

Provably Safe and Beneficial AI

Provably Safe and Beneficial AI

Stuart Russell (UC Berkeley) https://simons.berkeley.edu/talks/stuart-russell-uc-berkeley-2025-04-28 Theoretical Aspects of ...

Provably Safe and Live Multi-Robot Coordination

Provably Safe and Live Multi-Robot Coordination

A

Provably Safe Multi-Robot Coordination with Unreliable Communication - Tests with Real Robots

Provably Safe Multi-Robot Coordination with Unreliable Communication - Tests with Real Robots

Videos of tests with real

Scaling Probabilistically Safe Learning to Robotics (Scott Niekum, University of Texas, Austin)

Scaling Probabilistically Safe Learning to Robotics (Scott Niekum, University of Texas, Austin)

Winter 2021

Provably Safe AGI - MIT Mechanistic Interpretability Conference - May 7, 2023

Provably Safe AGI - MIT Mechanistic Interpretability Conference - May 7, 2023

Steve Omohundro sketches how AI technologies

POLICEd RL: Learning Robot Control Policies with Provable Satisfaction of Hard Constraints

POLICEd RL: Learning Robot Control Policies with Provable Satisfaction of Hard Constraints

Robotics

Provably Safe Autonomous Navigation in Unknown Environments

Provably Safe Autonomous Navigation in Unknown Environments

Real-world autonomous vehicles often operate in a priori unknown environments. Since most of these systems are

ICRA 2022 Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments

ICRA 2022 Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments

This is the supplementary video for our ICRA 2022 article "

🦾 ISO 10218-1:2025 Explained – The Rules of Robot Safety

🦾 ISO 10218-1:2025 Explained – The Rules of Robot Safety

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