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 …

A comprehensive review of vision-based robotic applications: Current state, components, approaches, barriers, and potential solutions

MT Shahria, MSH Sunny, MII Zarif, J Ghommam… - Robotics, 2022 - mdpi.com
Being an emerging technology, robotic manipulation has encountered tremendous
advancements due to technological developments starting from using sensors to artificial …

Challenges and outlook in robotic manipulation of deformable objects

J Zhu, A Cherubini, C Dune… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
Deformable object manipulation (DOM) is an emerging research problem in robotics. The
ability to manipulate deformable objects endows robots with higher autonomy and promises …

Softgym: Benchmarking deep reinforcement learning for deformable object manipulation

X Lin, Y Wang, J Olkin, D Held - Conference on Robot …, 2021 - proceedings.mlr.press
Manipulating deformable objects has long been a challenge in robotics due to its high
dimensional state representation and complex dynamics. Recent success in deep …

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 …

Sim-to-real reinforcement learning for deformable object manipulation

J Matas, S James, AJ Davison - Conference on Robot …, 2018 - proceedings.mlr.press
We have seen much recent progress in rigid object manipulation, but interaction with
deformable objects has notably lagged behind. Due to the large configuration space of …

kpam: Keypoint affordances for category-level robotic manipulation

L Manuelli, W Gao, P Florence, R Tedrake - The International Symposium …, 2019 - Springer
We would like robots to achieve purposeful manipulation by placing any instance from a
category of objects into a desired set of goal states. Existing manipulation pipelines typically …

Learning human activities and object affordances from rgb-d videos

HS Koppula, R Gupta… - The International journal …, 2013 - journals.sagepub.com
Understanding human activities and object affordances are two very important skills,
especially for personal robots which operate in human environments. In this work, we …

Differentiable cloth simulation for inverse problems

J Liang, M Lin, V Koltun - Advances in Neural Information …, 2019 - proceedings.neurips.cc
We propose a differentiable cloth simulator that can be embedded as a layer in deep neural
networks. This approach provides an effective, robust framework for modeling cloth …

[HTML][HTML] Futures of artificial intelligence through technology readiness levels

F Martínez-Plumed, E Gómez… - Telematics and …, 2021 - Elsevier
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …