Integrating Machine Learning and Control for Safe Robot Decision-Making

Join the Safe Reinforcement Learning Online Seminar on April 3rd, 2025, to explore the integration of machine learning and control for safe robot decision-making.

Join the Safe Reinforcement Learning Online Seminar on April 3rd, 2025, as Dr. SiQi Zhou presents ‘Integrating Machine Learning and Control for Safe and Efficient Robot Decision-Making’. The talk will explore the intersection of robotics, machine learning, and systems control, highlighting approaches that safely and efficiently improve robot performance in uncertain environments.

The seminar will take place at 18:00h CEST Time (Amsterdam, Berlin, Rome, Stockholm, Vienna) / 09:00h California time / 12:00h Eastern Time / +1 00:00h Beijing time. Download a calendar event for easy import.

Join the Zoom meeting: https://tum-conf.zoom-x.de/j/67269576319?pwd=ubowFTwtJCpqeW7EYCb7fbfKpFgthd.1

• Meeting ID: 672 6957 6319
• Passcode: 903926

Tags: Safe Reinforcement Learning, Robot Decision-Making, Machine Learning, Control Theory, Robotics, Uncertain Environments