Introduction Robotic assembly tasks require precise manipulation and coordination, often
necessitating advanced learning techniques to achieve efficient and effective performance …

3D scene understanding for robotic applications exhibits a unique set of requirements
including real-time inference, object-centric latent representation learning, accurate 6D pose …

We introduce a Learning from Demonstration (LID) approach for contact-rich manipulation
tasks, ie, tasks in which the manipulandum's motion is constrained by contact with the …

We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial
assembly tasks. RAMP consists of beams that a robot must assemble into specified goal …

We present a novel method for collaborative robots (cobots) to learn manipulation tasks and
perform them in a human-like manner. Our method falls under the learn-from-observation …

Safe and efficient object manipulation is a key enabler of many real-world robot applications.
However, this is challenging because robot operation must be robust to a range of sensor …

The system of robot manipulation involves a pipeline consisting of the perception of objects
in the environment and the planning of actions in 3D space. Deep learning approaches are …