In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …

One of the ambitions of Science Robotics is to deeply root robotics research in science while
develo** novel robotic platforms that will enable new scientific discoveries. Of our 10 …

A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

Shared expectations and mutual understanding are critical facets of teamwork. Achieving
these in human-robot collaborative contexts can be especially challenging, as humans and …

Our goal is to generate a policy to complete an unseen task given just a single video
demonstration of the task in a given domain. We hypothesize that to successfully generalize …

To act in the world, robots rely on a representation of salient task aspects: for example, to
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …

Robots are expected to play an important role in future construction work. However, they are
not yet widely adopted by the industry because it is difficult and expensive to program robots …

Collaborative robots represent a clear added value to manufacturing, as they promise to
increase productivity and improve working conditions of such environments. Although …

In this paper, we study the problem of procedure planning in instructional videos, which can
be seen as a step towards enabling autonomous agents to plan for complex tasks in …

To act in the world, robots rely on a representation of salient task aspects: for example, to
carry a coffee mug, a robot may consider movement efficiency or mug orientation in its …