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 …

As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

We present a survey of recent work on robot manipulation and sensing of deformable
objects, a field with relevant applications in diverse industries such as medicine (eg surgical …

This paper aims to provide a comprehensive survey of recent advancements in modelling
and autonomous manipulation of non-rigid objects. It first summarizes the recent advances …

Robotic manipulation is challenging when both the objects being manipulated and the
tactile sensors are deformable. In this article, we addressed the interplay between the …

Origami, a traditional Japanese art, is an example of superior handwork produced by human
hands. Achieving such extreme dexterity is one of the goals of robotic technology. In the …

We achieved contact-rich flexible object manipulation, which was difficult to control with
vision alone. In the unzipping task we chose as a validation task, the gripper grasps the …

In this study, we report the successful execution of in-air knotting of rope using a dual-arm
two-finger robot based on deep learning. Owing to its flexibility, the state of the rope was in …

This paper describes an adaptable system which is able to perform manipulation operations
(such as Peg-in-Hole or Laying-Down actions) with flexible objects. As such objects easily …

We present a virtual reality (VR) framework to automate the data collection process in cloth
folding tasks. The framework uses skeleton representations to help the user define the …