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 …

Trends and challenges in robot manipulation

A Billard, D Kragic - Science, 2019 - science.org
BACKGROUND Humans have a fantastic ability to manipulate objects of various shapes,
sizes, and materials and can control the objects' position in confined spaces with the …

Learning fine-grained bimanual manipulation with low-cost hardware

TZ Zhao, V Kumar, S Levine, C Finn - arXiv preprint arXiv:2304.13705, 2023 - arxiv.org
Fine manipulation tasks, such as threading cable ties or slotting a battery, are notoriously
difficult for robots because they require precision, careful coordination of contact forces, and …

Towards human-level bimanual dexterous manipulation with reinforcement learning

Y Chen, T Wu, S Wang, X Feng… - Advances in …, 2022 - proceedings.neurips.cc
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation even at the baby level are challenging to solve through …

[HTML][HTML] A survey of robot manipulation in contact

M Suomalainen, Y Karayiannidis, V Kyrki - Robotics and Autonomous …, 2022 - Elsevier
In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data

S Cebollada, L Payá, M Flores, A Peidró… - Expert Systems with …, 2021 - Elsevier
Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …

Human–robot interaction review and challenges on task planning and programming

P Tsarouchi, S Makris… - International Journal of …, 2016 - Taylor & Francis
The wide interest of research and industry in the human–robot interaction (HRI) related
topics is proportional to the increased productivity and flexibility of the production lines, as it …

Fabricflownet: Bimanual cloth manipulation with a flow-based policy

T Weng, SM Bajracharya, Y Wang… - … on Robot Learning, 2022 - proceedings.mlr.press
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 …

State of the art robotic grippers and applications

K Tai, AR El-Sayed, M Shahriari, M Biglarbegian… - Robotics, 2016 - mdpi.com
In this paper, we present a recent survey on robotic grippers. In many cases, modern
grippers outperform their older counterparts which are now stronger, more repeatable, and …

Path planning using neural a* search

R Yonetani, T Taniai, M Barekatain… - International …, 2021 - proceedings.mlr.press
We present Neural A*, a novel data-driven search method for path planning problems.
Despite the recent increasing attention to data-driven path planning, machine learning …