Relevant bibliographies by topics / Robotic Manipulation of Deformable Objects (RMDO)

Contents

  1. Journal articles

Academic literature on the topic 'Robotic Manipulation of Deformable Objects (RMDO)'

Author: Grafiati
Published: 20 January 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Robotic Manipulation of Deformable Objects (RMDO).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Robotic Manipulation of Deformable Objects (RMDO)"

1

Hou, Yew Cheong, Khairul Salleh Mohamed Sahari, and Dickson Neoh Tze How. "A review on modeling of flexible deformable object for dexterous robotic manipulation." International Journal of Advanced Robotic Systems 16, no. 3 (2019): 172988141984889. http://dx.doi.org/10.1177/1729881419848894.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Liman, and Jihong Zhu. "Deformable Object Manipulation in Caregiving Scenarios: A Review." Machines 11, no. 11 (2023): 1013. http://dx.doi.org/10.3390/machines11111013.

Full text
Abstract:
This paper reviews the robotic manipulation of deformable objects in caregiving scenarios. Deformable objects like clothing, food, and medical supplies are ubiquitous in care tasks, yet pose modeling, control, and sensing challenges. This paper categorises caregiving deformable objects and analyses their distinct properties influencing manipulation. Key sections examine progress in simulation, perception, planning, control, and system designs for deformable object manipulation, along with end-to-end deep learning’s potential. Hybrid analytical data-driven modeling shows promise. While laboratory successes have been achieved, real-world caregiving applications lag behind. Enhancing safety, speed, generalisation, and human compatibility is crucial for adoption. The review synthesises critical technologies, capabilities, and limitations, while also pointing to open challenges in deformable object manipulation for robotic caregiving. It provides a comprehensive reference for researchers tackling this socially valuable domain. In conclusion, multi-disciplinary innovations combining analytical and data-driven methods are needed to advance real-world robot performance and safety in deformable object manipulation for patient care.
APA, Harvard, Vancouver, ISO, and other styles
3

Chatzilygeroudis, Konstantinos, Bernardo Fichera, Ilaria Lauzana, et al. "Benchmark for Bimanual Robotic Manipulation of Semi-Deformable Objects." IEEE Robotics and Automation Letters 5, no. 2 (2020): 2443–50. http://dx.doi.org/10.1109/lra.2020.2972837.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Verleysen, Andreas, Thomas Holvoet, Remko Proesmans, Cedric Den Haese, and Francis wyffels. "Simpler Learning of Robotic Manipulation of Clothing by Utilizing DIY Smart Textile Technology." Applied Sciences 10, no. 12 (2020): 4088. http://dx.doi.org/10.3390/app10124088.

Full text
Abstract:
Deformable objects such as ropes, wires, and clothing are omnipresent in society and industry but are little researched in robotics research. This is due to the infinite amount of possible state configurations caused by the deformations of the deformable object. Engineered approaches try to cope with this by implementing highly complex operations in order to estimate the state of the deformable object. This complexity can be circumvented by utilizing learning-based approaches, such as reinforcement learning, which can deal with the intrinsic high-dimensional state space of deformable objects. However, the reward function in reinforcement learning needs to measure the state configuration of the highly deformable object. Vision-based reward functions are difficult to implement, given the high dimensionality of the state and complex dynamic behavior. In this work, we propose the consideration of concepts beyond vision and incorporate other modalities which can be extracted from deformable objects. By integrating tactile sensor cells into a textile piece, proprioceptive capabilities are gained that are valuable as they provide a reward function to a reinforcement learning agent. We demonstrate on a low-cost dual robotic arm setup that a physical agent can learn on a single CPU core to fold a rectangular patch of textile in the real world based on a learned reward function from tactile information.
APA, Harvard, Vancouver, ISO, and other styles
5

Zhu, Jihong, Benjamin Navarro, Robin Passama, Philippe Fraisse, Andre Crosnier, and Andrea Cherubini. "Robotic Manipulation Planning for Shaping Deformable Linear Objects WithEnvironmental Contacts." IEEE Robotics and Automation Letters 5, no. 1 (2020): 16–23. http://dx.doi.org/10.1109/lra.2019.2944304.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Aspragathos, Nikos A. "Intelligent Robot Systems for Manipulation of Non-Rigid Objects." Solid State Phenomena 260 (July 2017): 20–29. http://dx.doi.org/10.4028/www.scientific.net/ssp.260.20.

Full text
Abstract:
In this paper, methodologies are presented for the development of intelligent robot systems for the manipulation of linear and sheet like objects with low and/or very low bending rigidity. In the introduction the non-rigid objects are defined and classified considering their shape, bending rigidity and extensibility. The industrial and service applications of these systems are presented and the state of the art approaches for the manipulation of various categories of the non-rigid objects are presented. A brief State-of the-Art on the manipulation of the deformable objects with relatively low bending rigidity and presenting elastic behavior like foam, sheet metal is presented as well.The main part of the paper is devoted to the robotic manipulation of the sheet-like objects with very low rigidity such as fabrics and leather. Laboratory demonstrators accompany the presentation of the developed intelligent robotic systems for manipulation of non-rigid objects and the paper concludes with hints for the future directions of the research and development in robotic systems for handling non-rigid objects.
APA, Harvard, Vancouver, ISO, and other styles
7

Zaidi, Lazher, Juan Antonio Corrales Ramon, Laurent Sabourin, Belhassen Chedli Bouzgarrou, and Youcef Mezouar. "Grasp Planning Pipeline for Robust Manipulation of 3D Deformable Objects with Industrial Robotic Hand + Arm Systems." Applied Sciences 10, no. 23 (2020): 8736. http://dx.doi.org/10.3390/app10238736.

Full text
Abstract:
In the grasping and manipulation of 3D deformable objects by robotic hands, the physical contact constraints between the fingers and the object have to be considered in order to validate the robustness of the task. Nevertheless, previous works rarely establish contact interaction models based on these constraints that enable the precise control of forces and deformations during the grasping process. This paper considers all steps of the grasping process of deformable objects in order to implement a complete grasp planning pipeline by computing the initial contact points (pregrasp strategy), and later, the contact forces and local deformations of the contact regions while the fingers close over the grasped object (grasp strategy). The deformable object behavior is modeled using a nonlinear isotropic mass-spring system, which is able to produce potential deformation. By combining both models (the contact interaction and the object deformation) in a simulation process, a new grasp planning method is proposed in order to guarantee the stability of the 3D grasped deformable object. Experimental grasping experiments of several 3D deformable objects with a Barrett hand (3-fingered) and a 6-DOF industrial robotic arm are executed. Not only will the final stable grasp configuration of the hand + object system be obtained, but an arm + hand approaching strategy (pregrasp) will also be computed.
APA, Harvard, Vancouver, ISO, and other styles
8

Ruggiero, Fabio, Antoine Petit, Diana Serra, et al. "Nonprehensile Manipulation of Deformable Objects: Achievements and Perspectives from the Robotic Dynamic Manipulation Project." IEEE Robotics & Automation Magazine 25, no. 3 (2018): 83–92. http://dx.doi.org/10.1109/mra.2017.2781306.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sanchez, Jose, Juan-Antonio Corrales, Belhassen-Chedli Bouzgarrou, and Youcef Mezouar. "Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey." International Journal of Robotics Research 37, no. 7 (2018): 688–716. http://dx.doi.org/10.1177/0278364918779698.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
10

Almaghout, K., and A. Klimchik. "Vision-Based Robotic Comanipulation for Deforming Cables." Nelineinaya Dinamika 18, no. 5 (2022): 0. http://dx.doi.org/10.20537/nd221213.

Full text
Abstract:
Although deformable linear objects (DLOs), such as cables, are widely used in the majority of life fields and activities, the robotic manipulation of these objects is considerably more complex compared to the rigid-body manipulation and still an open challenge. In this paper, we introduce a new framework using two robotic arms cooperatively manipulating a DLO from an initial shape to a desired one. Based on visual servoing and computer vision techniques, a perception approach is proposed to detect and sample the DLO as a set of virtual feature points. Then a manipulation planning approach is introduced to map between the motion of the manipulators end effectors and the DLO points by a Jacobian matrix. To avoid excessive stretching of the DLO, the planning approach generates a path for each DLO point forming profiles between the initial and desired shapes. It is guaranteed that all these intershape profiles are reachable and maintain the cable length constraint. The framework and the aforementioned approaches are validated in real-life experiments.
APA, Harvard, Vancouver, ISO, and other styles
More sources
You might also be interested in the extended bibliographies on the topic 'Robotic Manipulation of Deformable Objects (RMDO)' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography