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Nonlinear Modeling and Docking Tests of a Soft Modular Robot
- Source :
- IEEE Access, Vol 7, Pp 11328-11337 (2019)
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Soft modular robots have the advantages of both bionic continuum robots and modular self-reconfigurable robots. They have potential application for working in narrow space and uneven terrain. The outstanding abilities of the soft modular robots are infinite degrees of freedom and a changeable configuration. However, these advantages also incur difficulty in mathematical modeling and continuous motion control, especially for docking, which is the key to realizing a changeable configuration. Therefore, the development of a soft modular robot requires a modeling method to guide the module's motions accurately. In this paper, we design and manufacture a pneumatic soft modular robot with a novel connecting mechanism to achieve docking. A nonlinear dynamic model of our soft module is established. In particular, the analytic solutions of the module plane docking are presented. Based on the nonlinear dynamic modeling, three experiments are performed under different conditions. The experimental results pertaining to module plane bending agree with the theoretical values, which verify the accuracy of the modeling method. Moreover, fixed point docking and two modules docking experiments demonstrate the validity of the modeling method and the docking ability. The modeling method proposed in this paper can well guide the docking of soft modular robots.
- Subjects :
- Self-reconfiguring modular robot
General Computer Science
Computer science
Terrain
02 engineering and technology
Fixed point
Computer Science::Robotics
dynamic modeling
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
business.industry
General Engineering
nonlinearity
Control engineering
Modular design
021001 nanoscience & nanotechnology
Motion control
Nonlinear system
Soft modular robot
Docking (molecular)
docking
Robot
020201 artificial intelligence & image processing
lcsh:Electrical engineering. Electronics. Nuclear engineering
0210 nano-technology
business
lcsh:TK1-9971
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....48d1d18d65768a4c6e16326270676222
- Full Text :
- https://doi.org/10.1109/access.2018.2885357