Modeling, learning, perception, and control methods for deformable object manipulation

H Yin, A Varava, D Kragic - Science Robotics, 2021 - science.org
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 …

Research advances and challenges of autonomous and connected ground vehicles

A Eskandarian, C Wu, C Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Learning to rearrange deformable cables, fabrics, and bags with goal-conditioned transporter networks

D Seita, P Florence, J Tompson… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Rearranging and manipulating deformable objects such as cables, fabrics, and bags is a
long-standing challenge in robotic manipulation. The complex dynamics and high …

Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey

J Sanchez, JA Corrales… - … Journal of Robotics …, 2018 - journals.sagepub.com
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 …

[HTML][HTML] Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation

Y Tsurumine, Y Cui, E Uchibe, T Matsubara - Robotics and Autonomous …, 2019 - Elsevier
Abstract Deep Reinforcement Learning (DRL), which can learn complex policies with high-
dimensional observations as inputs, eg, images, has been successfully applied to various …

Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor

D Seita, A Ganapathi, R Hoque… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Sequential pulling policies to flatten and smooth fabrics have applications from surgery to
manufacturing to home tasks such as bed making and folding clothes. Due to the complexity …

Visuospatial foresight for multi-step, multi-task fabric manipulation

R Hoque, D Seita, A Balakrishna, A Ganapathi… - arXiv preprint arXiv …, 2020 - arxiv.org
Robotic fabric manipulation has applications in home robotics, textiles, senior care and
surgery. Existing fabric manipulation techniques, however, are designed for specific tasks …

Visuotactile affordances for cloth manipulation with local control

N Sunil, S Wang, Y She, E Adelson… - Conference on Robot …, 2023 - proceedings.mlr.press
Cloth in the real world is often crumpled, self-occluded, or folded in on itself such that key
regions, such as corners, are not directly graspable, making manipulation difficult. We …

A brain-controlled exoskeleton with cascaded event-related desynchronization classifiers

K Lee, D Liu, L Perroud, R Chavarriaga… - Robotics and Autonomous …, 2017 - Elsevier
This paper describes a brain–machine interface for the online control of a powered lower-
limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user's …

Folding clothes autonomously: A complete pipeline

A Doumanoglou, J Stria, G Peleka… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This work presents a complete pipeline for folding a pile of clothes using a dual-armed robot.
This is a challenging task both from the viewpoint of machine vision and robotic …