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 …

Task-agnostic self-modeling machines | Science Robotics news careers commentary
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Articulated object manipulation is a fundamental yet challenging task in robotics. Due to
significant geometric and semantic variations across object categories, previous …

Perceiving and manipulating 3D articulated objects in diverse environments is essential for
home-assistant robots. Recent studies have shown that point-level affordance provides …

Digitizing physical objects into the virtual world has the potential to unlock new research and
applications in embodied AI and mixed reality. This work focuses on recreating interactive …

Recent approaches in robot perception follow the insight that perception is facilitated by
interaction with the environment. These approaches are subsumed under the term …

We present CARTO, a novel approach for reconstructing multiple articulated objects from a
single stereo RGB observation. We use implicit object-centric representations and learn a …

Perceiving and manipulating 3D articulated objects (eg, cabinets, doors) in human
environments is an important yet challenging task for future home-assistant robots. The …

Humans can use the Internet to share knowledge and to help each other accomplish
complex tasks. Until now, robots have not taken advantage of this opportunity. Sharing …

Virtualizing the physical world into virtual models has been a critical technique for robot
navigation and planning in the real world. To foster manipulation with articulated objects in …