Speedfolding: Learning efficient bimanual folding of garments

Y Avigal, L Berscheid, T Asfour… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
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 …

Md-splatting: Learning metric deformation from 4d gaussians in highly deformable scenes

BP Duisterhof, Z Mandi, Y Yao, JW Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate 3D tracking in highly deformable scenes with occlusions and shadows can
facilitate new applications in robotics, augmented reality, and generative AI. However …

Autobag: Learning to open plastic bags and insert objects

LY Chen, B Shi, D Seita, R Cheng… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Thin plastic bags are ubiquitous in retail stores, healthcare, food handling, recycling, homes,
and school lunchrooms. They are challenging both for perception (due to specularities and …

A closed-loop bin picking system for entangled wire harnesses using bimanual and dynamic manipulation

X Zhang, Y Domae, W Wan, K Harada - Robotics and Computer-Integrated …, 2024 - Elsevier
This paper addresses the challenge of industrial bin picking using entangled wire
harnesses. Wire harnesses are essential in manufacturing but pose challenges in …

ShakingBot: dynamic manipulation for bagging

N Gu, Z Zhang, R He, L Yu - Robotica, 2024 - cambridge.org
Bag manipulation through robots is complex and challenging due to the deformability of the
bag. Based on the dynamic manipulation strategy, we propose a new framework …

Sgtm 2.0: Autonomously untangling long cables using interactive perception

K Shivakumar, V Viswanath, A Gu… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Cables are commonplace in homes, hospitals, and industrial warehouses and are prone to
tangling. This paper extends prior work on autonomously untangling long cables by …

That sounds right: Auditory self-supervision for dynamic robot manipulation

A Thankaraj, L Pinto - Conference on Robot Learning, 2023 - proceedings.mlr.press
Learning to produce contact-rich, dynamic behaviors from raw sensory data has been a
longstanding challenge in robotics. Prominent approaches primarily focus on using visual …

Learning to unfold garment effectively into oriented direction

N Gu, R He, L Yu - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
In the real world, unfolding the garment to a specific plane direction and vertical facing can
make the downstream task, ie folding, more convenient and effective. Then, we propose a …

Attention-Based Cloth Manipulation from Model-free Topological Representation

K Galassi, B Wu, J Perez, G Palli… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The robotic manipulation of deformable objects, such as clothes and fabric, is known as a
complex task from both the perception and planning perspectives. Indeed, the stochastic …

[HTML][HTML] 3D dynamic image modeling based on machine learning in film and television animation

Y Wang - Journal of Multimedia Information System, 2023 - jmis.org
With the deep integration and rapid development of computer technology and film and
television animation in recent years, computer animation technology has gradually created …