Modeling of deformable objects for robotic manipulation: A tutorial and review

VE Arriola-Rios, P Guler, F Ficuciello… - Frontiers in Robotics …, 2020 - frontiersin.org
Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …

Feature sensing and robotic grasping of objects with uncertain information: A review

C Wang, X Zhang, X Zang, Y Liu, G Ding, W Yin, J Zhao - Sensors, 2020 - mdpi.com
As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

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 …

Multi-modal sensing and robotic manipulation of non-rigid objects: A survey

F Nadon, AJ Valencia, P Payeur - Robotics, 2018 - mdpi.com
This paper aims to provide a comprehensive survey of recent advancements in modelling
and autonomous manipulation of non-rigid objects. It first summarizes the recent advances …

Online elasticity estimation and material sorting using standard robot grippers

SP Patni, P Stoudek, H Chlup, M Hoffmann - The International Journal of …, 2024 - Springer
Stiffness or elasticity estimation of everyday objects using robot grippers is highly desired for
object recognition or classification in application areas like food handling and single-stream …

Tactile control based on Gaussian images and its application in bi-manual manipulation of deformable objects

A Delgado, JA Corrales, Y Mezouar, L Lequievre… - Robotics and …, 2017 - Elsevier
The field of in-hand robot manipulation of deformable objects is an open and key issue for
the next-coming robots. Developing an adaptable and agile framework for the tasks where a …

Minimal work: A grasp quality metric for deformable hollow objects

J Xu, M Danielczuk, J Ichnowski… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Robot grasping of deformable hollow objects such as plastic bottles and cups is challenging,
as the grasp should resist disturbances while minimally deforming the object so as not to …

Grasp with push policy for multi-finger dexterity hand based on deep reinforcement learning

B Li, S Qiu, J Bai, H Wang, B Wang, Z Zhang, L Li… - Applied Soft …, 2024 - Elsevier
When interacting with the external environment, dexterous hands face various challenges,
including interference in cluttered environments and difficulty in accurately locating target …

Deformation-aware data-driven grasp synthesis

TN Le, J Lundell, FJ Abu-Dakka… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Grasp synthesis for 3-D deformable objects remains a little-explored topic, most works
aiming to minimize deformations. However, deformations are not necessarily harmful …

Object classification using hybrid fiber optical force/proximity sensor

J Konstantinova, G Cotugno, A Stilli, Y Noh… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Intelligent perception to determine the physical interaction between robotic hands and the
environment is a topic of great interest for the sensing and robotics communities. Sensor …