Rico Jonschkowski is a research scientist at Robotics at Google, working on unsupervised learning for robot perception. His research vision is to identify structural invariances from the perspective of a learning agent in our world and to inject those invariances as priors into learning algorithms to make robot learning more efficient. Before joining Google in 2018, Rico received his Dr. rer. nat. (German PhD equivalent) from Technische Universität Berlin and his MSc and BSc from Freie Universität Berlin. He was part of the RBO team that won the Amazon Picking Challenge 2015 and received the best systems paper award at Robotics: Science and Systems (RSS) in 2016. For more information and a list of pre-Google publications, visit ricojonschkowski.com.