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Dataset -- Towards a gecko-inspired, climbing soft robot
Citation Link: https://doi.org/10.15480/336.2519
Type
Dataset
Date Issued
2019-02
Creator
Data Collector
Language
English
Institute
TORE-URI
Abstract
In this paper, we present a gecko-inspired soft robot that is able to climb inclined, flat surfaces.
By changing the design of the previous version, the energy consumption of the robot could be reduced, and at the same time, its ability to climb and its speed of movement could be increased.
As a result, the new prototype consumes only about a third of the energy of the previous version and manages to climb slopes of up to 84deg.
In the horizontal plane, its velocity could be increased from 2 to 6 cm/s.
We also provide a detailed analysis of the robot's straight gait.
This dataset includes all measurement data and evaluation scripts.
By changing the design of the previous version, the energy consumption of the robot could be reduced, and at the same time, its ability to climb and its speed of movement could be increased.
As a result, the new prototype consumes only about a third of the energy of the previous version and manages to climb slopes of up to 84deg.
In the horizontal plane, its velocity could be increased from 2 to 6 cm/s.
We also provide a detailed analysis of the robot's straight gait.
This dataset includes all measurement data and evaluation scripts.
Subjects
soft robotics
mobile robots
data analytics
Motion tracking
DDC Class
600: Technik
620: Ingenieurwissenschaften
No Thumbnail Available
Name
exp_incl_plane.zip
Size
1.05 GB
Format
ZIP
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Name
readme.pdf
Size
154.42 KB
Format
Adobe PDF
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Name
exp_slow_track.zip
Size
1.26 MB
Format
ZIP
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Name
Src.zip
Size
104.55 KB
Format
ZIP