2013 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2013
DOI: 10.1109/robio.2013.6739644
|View full text |Cite
|
Sign up to set email alerts
|

Soft Cell Simulator: A tool to study soft multi-cellular robots

Abstract: Abstract-Modular or multi-cellular robots hold the promise to adapt their morphology to task and environment. However, research in modular robotics has traditionally been limited to mechanically non-adaptive systems due to hard building blocks and rigid connection mechanisms. To improve adaptation and global flexibility, we suggest the use of modules made of soft materials. Thanks to recent advances in fabrication techniques the development of soft robots without spatial or material constraints is now possible… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
2
2

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…We make use of a previously developed 2D simulator to aid in the design and control of a system based on entirely soft cells [15,16]. In this simulator, the membrane of soft cells is composed of multiple rigid bodies (see Figure 2a), aligned and connected by hinge joints to form a closed chain (Figure 2b).…”
Section: Softwarementioning
confidence: 99%
See 1 more Smart Citation
“…We make use of a previously developed 2D simulator to aid in the design and control of a system based on entirely soft cells [15,16]. In this simulator, the membrane of soft cells is composed of multiple rigid bodies (see Figure 2a), aligned and connected by hinge joints to form a closed chain (Figure 2b).…”
Section: Softwarementioning
confidence: 99%
“…We developed a 2D simulator to aid in the design and control of a system based on entirely soft cells [15]. The requirements on the simulator were (i) high enough simulation speed to test systems with a large number of cells, (ii) large non-linear deformations without module self-penetration, (iii) tunability of cell softness, and (iv) physics-based active module connectivity (e.g.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…In order to test the algorithm, its output is tested both in Matlab as well as in our custom developed physics-based simulation tool "Soft Cell Simulator" (SCS) [12]. Using our simulation framework enables us to assess the performance in a physically more plausible and accurate way.…”
Section: Implementation and Testingmentioning
confidence: 99%