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As we start to see robots in our day to day lives, teaching them how to operate in our world becomes more important. From helping us around the house to serving us at the bar, we look at different ways robots could interact with us in the future.
Machine Learning for Robotic Hand-Eye Coordination
Dr Ed Johns (Lecturer at ICL and Director of the Robot Learning Lab)
To design a robot which can perform tasks with its arms and hands, we can allow robots to learn by themselves through exploration and interaction with the world, in a similar way to how babies learn. "Machine learning" approaches such as this have seen huge success in recent years, particularly with the arrival of "deep learning". In this talk, I will show how we can design robots which can learn hand-eye coordination skills using these ideas from machine learning, with a view towards developing the first commercial domestic robots which can clean and tidy the home.
Robots, bartenders and the perfect pint
Dr Tobias Fischer (Postdoc in the Personal Robotics Lab, Dept. Electrical and Electronic Engineering)
Robots: the things that nowadays hoover your floor. What does it take to get them to do more useful tasks, like pouring you a pint? Or even better, socialising with you while doing so? In this talk, I take bartender-patron interactions as inspiration for robot-patron interactions. I will focus on a particular human ability - perspective taking - which allows a good bartender to mentally step into your shoes to predict your next order. Finally, we’ll see what robots can teach us about bartenders?