Tactile classification with supervise autoencoder and joint learning
Tactile sensing, or sense of touch, is one of the essential perception modalities for human beings. It provides abundant information about the environment upon contact, such as force, vibration, temperature, and so on. However, unlike standard RGB images in the computer vision field, abstruse data f...
Saved in:
Main Author: | Gao, Ruihan |
---|---|
Other Authors: | Lin Zhiping |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138711 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Tactile-based control in robotic manipulation
by: Tay, Daryl
Published: (2021) -
Tactile regrasp of objects with dynamic center-of-mass
by: Than, Duc Huy
Published: (2023) -
Terrain classification for mobile robot navigation
by: Karthikeyan Asaithambi.
Published: (2010) -
Design and analysis of a 6-axis revolute joint robot
by: Ng, Wan Sing.
Published: (2009) -
Measurement of print head assembly motion in an inkjet printer using tactile sensors
by: Zhang, Xiang, et al.
Published: (2010)