For robots to be useful outside labs and specialized factories we need a way to teach them
new useful behaviors quickly. Current approaches lack either the generality to onboard new …

As automation is spreading in all the industry domains, the presence of robots is becoming
unavoidable inside factories, warehouses and manufacturing facilities. Although a great …

The development of future technologies can be highly influenced by our deeper
understanding of the principles that underlie living organisms. The Living Machines …

Cable routing is a challenging task for robotic automation. To accomplish the task, it requires
a high-level path planner to generate a sequence of cable configurations from the initial …

Gras** unknown objects in unstructured environments is one of the most challenging and
demanding tasks for robotic bin picking systems. Develo** a holistic approach is crucial to …

Gras** objects—whether they are flat, round, or narrow and whether they have regular or
irregular shapes—introduces difficulties in determining the ideal gras** posture, even for …

The National Institute of Standards and Technology is develo** performance tests and
associated artifacts to benchmark research in the area of robotic assembly. Sets of …

Three challenges limit the progress of robot learning research: robots are expensive (few
labs can participate), everyone uses different robots (findings do not generalize across labs) …

Accurately detecting suitable grasp areas for unknown objects through visual information
remains a challenging task. Drawing inspiration from the success of the Vision Transformer …

This paper proposes 12 multi-object grasps (MOGs) types from a human and robot gras**
data set. The grasp types are then analyzed and organized into a MOG taxonomy. This …