Soft pneumatic actuators: A review of design, fabrication, modeling, sensing, control and applications

MS Xavier, CD Tawk, A Zolfagharian, J Pinskier… - IEEE …, 2022 - ieeexplore.ieee.org
Soft robotics is a rapidly evolving field where robots are fabricated using highly deformable
materials and usually follow a bioinspired design. Their high dexterity and safety make them …

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 …

Soft robots modeling: A structured overview

C Armanini, F Boyer, AT Mathew… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The robotics community has seen an exponential growth in the level of complexity of the
theoretical tools presented for the modeling of soft robotics devices. Different solutions have …

On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward

HS Choi, C Crump, C Duriez… - Proceedings of the …, 2021 - National Acad Sciences
The last five years marked a surge in interest for and use of smart robots, which operate in
dynamic and unstructured environments and might interact with humans. We posit that well …

[PDF][PDF] Incremental potential contact: intersection-and inversion-free, large-deformation dynamics.

M Li, Z Ferguson, T Schneider, TR Langlois, D Zorin… - ACM Trans …, 2020 - par.nsf.gov
Contact is ubiquitous and often unavoidable and yet modeling contacting systems continues
to stretch the limits of available computational tools. In part this is due to the unique hurdles …

From bioinspiration to computer generation: Developments in autonomous soft robot design

J Pinskier, D Howard - Advanced Intelligent Systems, 2022 - Wiley Online Library
The emerging field of soft robotics presents a new paradigm for robot design in which
“precision through rigidity” is replaced by “cognition through compliance.” Lightweight and …

igibson 2.0: Object-centric simulation for robot learning of everyday household tasks

C Li, F Xia, R Martín-Martín, M Lingelbach… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent research in embodied AI has been boosted by the use of simulation environments to
develop and train robot learning approaches. However, the use of simulation has skewed …

Control of elastic soft robots based on real-time finite element method

C Duriez - 2013 IEEE international conference on robotics and …, 2013 - ieeexplore.ieee.org
In this paper, we present a new method for the control of soft robots with elastic behavior,
piloted by several actuators. The central contribution of this work is the use of the Finite …

Dynamic cloth manipulation with deep reinforcement learning

R Jangir, G Alenya, C Torras - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In this paper we present a Deep Reinforcement Learning approach to solve dynamic cloth
manipulation tasks. Differing from the case of rigid objects, we stress that the followed …

Toward next-generation learned robot manipulation

J Cui, J Trinkle - Science robotics, 2021 - science.org
The ever-changing nature of human environments presents great challenges to robot
manipulation. Objects that robots must manipulate vary in shape, weight, and configuration …