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Modelling the Soft RobotKymaBased on Real‐Time Finite Element Method
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Modelling soft robots is a non-trivial task since their behaviours rely on their morphology, materials and surrounding elements.These robots are very useful to safely interact with their environment and because of their inherent exibility and adaptability skills. However, they are usually very hard to model because of their intrinsic non-linearities. This fact presents a unique challenge in the computer graphics and simulation scopes. Current trends in these elds tend to narrow the gap between virtual and real environments. This work will explain a challenging modelling process for a cable-driven soft robot called Kyma. For this purpose, the real-time Finite Element Method (FEM) is applied using the Simulation Open Framework Architecture. And two methods are implemented and compared to optimize the model efciency: a heuristic one and the Model Order Reduction. Both models are also validated with the real robot using a precise motion tracking system. Moreover, an analysis of robot–object interactions is proposed to test the compliance of the presented soft manipulator. As a result, the real-time FEM emerges as a good solution to accurately and efciently model the presented robot while also allowing to study the interactions with its environment<br />This research has been supported by RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and co-funded by Structural Funds of the EU. And also by the Program project VJIDOCUPM18JCG from Universidad Politécnica de Madrid.
- Subjects :
- Engineering drawing
Interaction
Computer science
business.industry
Finite-Element Method
Modeling
020207 software engineering
Robotics
02 engineering and technology
Soft robots
Computer Graphics and Computer-Aided Design
Finite element method
0202 electrical engineering, electronic engineering, information engineering
Robot
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- ISSN :
- 14678659 and 01677055
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- Computer Graphics Forum
- Accession number :
- edsair.doi.dedup.....674be967e5062a13a37a1b6f60bdc6ea
- Full Text :
- https://doi.org/10.1111/cgf.14026