Perceiving and handling deformable objects is an integral part of everyday life for humans.
Automating tasks such as food handling, garment sorting, or assistive dressing requires …

The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

We address the problem of goal-directed cloth manipulation, a challenging task due to the
deformability of cloth. Our insight is that optical flow, a technique normally used for motion …

Folding garments reliably and efficiently is a long standing challenge in robotic manipulation
due to the complex dynamics and high dimensional configuration space of garments. An …

Reinforcement learning (RL), imitation learning (IL), and task and motion planning (TAMP)
have demonstrated impressive performance across various robotic manipulation tasks …

Recently, there has been a wealth of development in motion planning for robotic
manipulation—new motion planners are continuously proposed, each with their own unique …

In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation,
called the OCRTOC benchmark. The benchmark focuses on the object rearrangement …

This paper discusses recent research progress in robotic grasping and manipulation in the
light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We first …

Assistive robots have the potential to support disabled and elderly people in daily dressing
activities. An intermediate stage of dressing is to manipulate the garment from a crumpled …

Industrial collaborative robots will be used in unstructured scenarios and a large variety of
tasks in the near future. These robots shall collaborate with humans, who will add …