scholarly journals Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review

2020 ◽  
Vol 7 ◽  
Author(s):  
Veronica E. Arriola-Rios ◽  
Puren Guler ◽  
Fanny Ficuciello ◽  
Danica Kragic ◽  
Bruno Siciliano ◽  
...  
2020 ◽  
Vol 7 ◽  
Author(s):  
Angel J. Valencia ◽  
Pierre Payeur

Modeling deformable objects is an important preliminary step for performing robotic manipulation tasks with more autonomy and dexterity. Currently, generalization capabilities in unstructured environments using analytical approaches are limited, mainly due to the lack of adaptation to changes in the object shape and properties. Therefore, this paper proposes the design and implementation of a data-driven approach, which combines machine learning techniques on graphs to estimate and predict the state and transition dynamics of deformable objects with initially undefined shape and material characteristics. The learned object model is trained using RGB-D sensor data and evaluated in terms of its ability to estimate the current state of the object shape, in addition to predicting future states with the goal to plan and support the manipulation actions of a robotic hand.


2019 ◽  
Vol 16 (3) ◽  
pp. 172988141984889
Author(s):  
Yew Cheong Hou ◽  
Khairul Salleh Mohamed Sahari ◽  
Dickson Neoh Tze How

In this article, we present a review on the recent advancement in flexible deformable object modeling for dexterous manipulation in robotic system. Flexible deformable object is one of the most research topics in computer graphic, computer vision, and robotic literature. The deformable models are known as the construction of object with material parameters in virtual environment to describe the deformation behavior. Existing modeling techniques and different types of deformable model are described. Various approaches of deformable object modeling have been used in robotic recognition and manipulation in order to reduce the time and cost to obtain more accurate result. In robotic manipulation, object detection, classification, and recognition of deformable objects are always a challenging problem and required as a first step to imbue the robot to able handle these deformable objects. Furthermore, the dexterity of robot control is also another essential key in handling of deformable object which its manipulation strategies need to plan intelligently for each sequence process. We also discuss some deserving direction for further research based on most current contribution.


2020 ◽  
Vol 5 (2) ◽  
pp. 2443-2450 ◽  
Author(s):  
Konstantinos Chatzilygeroudis ◽  
Bernardo Fichera ◽  
Ilaria Lauzana ◽  
Fanjun Bu ◽  
Kunpeng Yao ◽  
...  

2018 ◽  
Vol 37 (7) ◽  
pp. 688-716 ◽  
Author(s):  
Jose Sanchez ◽  
Juan-Antonio Corrales ◽  
Belhassen-Chedli Bouzgarrou ◽  
Youcef Mezouar

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 (e.g. surgical assistance), food handling, manufacturing, and domestic chores (e.g. folding clothes). We classify the reviewed approaches into four categories based on the type of object they manipulate. Furthermore, within this object classification, we divide the approaches based on the particular task they perform on the deformable object. Finally, we conclude this survey with a discussion of the current state-of-the-art approaches and propose future directions within the proposed classification.


2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Dabae Kim ◽  
Yusuke Maeda ◽  
Shun Komiyama

2020 ◽  
Vol 26 (2) ◽  
pp. 58-63
Author(s):  
R.R. Sosnin ◽  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document