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 …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

Geometric organization of objects into semantically meaningful arrangements pervades the
built world. As such, assistive robots operating in warehouses, offices, and homes would …

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 …

Robotic Learning from Demonstration (LfD) allows anyone, not just experts, to program a
robot for an arbitrary task. Many LfD methods focus on low level primitive actions such as …

Understanding spatial relations (eg, laptop on table) in visual input is important for both
humans and robots. Existing datasets are insufficient as they lack large-scale, high-quality …

Understanding the spatial relations between objects in images is a surprisingly challenging
task. A chair may be" behind" a person even if it appears to the left of the person in the …

Abstract Generative Attention Learning (GenerAL) is a framework for high-DOF multi-
fingered grasping that is not only robust to dense clutter and novel objects but also effective …

This letter presents a framework to detect and rank affordances of novel objects to assist with
robotic manipulation tasks. The framework segments the affordance map of unseen objects …

Robots working in human environments often encounter a wide range of articulated objects,
such as tools, cabinets, and other jointed objects. Such articulated objects can take an …