The automation of processes that handle deformable materials, and in particular Deformable
Linear Objects (DLOs), such as cables, ropes, and sutures; is a challenging task. Due to …

Manipulating deformable linear objects (DLOs) is a challenging task for a robotic system due
to their unpredictable configuration, high-dimensional state space and complex nonlinear …

Robotic manipulation of deformable materials is a challenging task that often requires
realtime visual feedback. This is especially true for deformable linear objects (DLOs) or …

Manipulating cluttered cables, hoses or ropes is challenging for both robots and humans.
Humans often simplify these perceptually challenging tasks by pulling or pushing tangled …

Deformable linear objects are vastly represented in our everyday lives. It is often challenging
even for humans to visually understand them, as the same object can be entangled so that it …

In the field of robotics and automation, conventional object recognition and instance
segmentation methods face a formidable challenge when it comes to perceiving Deformable …

Realtime shape estimation of continuum objects and manipulators is essential for
developing accurate planning and control paradigms. The existing methods that create …

This paper focuses on an automatic solution for the detection of manufacturing errors in the
context of automatic wiring harness assembly. In the proposed setup, a robot grasp the wires …

In this paper, a novel method for monocular estimation of connector orientation in wire and
cable harnesses is introduced. The proposed approach combines Deformable Linear …

From manipulators to self-driving cars, training robots in the real world is often tedious,
expensive, and results in hardware wear-and-tear. Due to the aforementioned reasons, the …