Robots are becoming increasingly weaved into the fabric of our society, from self-driving
cars on our streets to assistive manipulators in our homes. To act in the world, robots rely on …

Robots are becoming increasingly weaved into the fabric of our society, from self-driving
cars on our streets to assistive manipulators in our homes. To act in the world, robots rely on …

Robots are becoming increasingly weaved into the fabric of our society, from self-driving
cars on our streets to assistive manipulators in our homes. To act in the world, robots rely on …

As robots are increasingly deployed in real-world environments, a key question becomes
how to best teach them to accomplish tasks that humans want. In this work, we argue that …

As robots are increasingly deployed in real-world scenarios, a key question is how to best
transfer knowledge learned in one environment to another, where shifting constraints and …

As robots are increasingly deployed in real-world scenarios, a key question is how to best
transfer knowledge learned in one environment to another, where shifting constraints and …

As robots are increasingly deployed in real-world scenarios, a key question is how to best
transfer knowledge learned in one environment to another, where shifting constraints and …

As robots are increasingly deployed in real-world scenarios, a key question is how to best
transfer knowledge learned in one environment to another, where shifting constraints and …