Online deep transfer learning applied to building quality assessment robots
Post-construction quality assessment is critical to the building projects. It is labour intensive and time consuming. The results of the assessment depend on the examiner performing the assessment and are therefore subjective – people may have various opinions about an assessment and people may make...
Saved in:
Main Author: | Liu, Lili |
---|---|
Other Authors: | Chen I-Ming |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/104468 http://hdl.handle.net/10220/50012 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Transfer learning on convolutional activation feature as applied to a building quality assessment robot
by: Liu, Lili, et al.
Published: (2018) -
Deep learning for haptic feedback of flexible endoscopic robot without prior knowledge on sheath configuration
by: Li, Xiaoguo, et al.
Published: (2020) -
Distal-end force prediction of tendon-sheath mechanisms for flexible endoscopic surgical robots using deep learning
by: Li, Xiaoguo, et al.
Published: (2020) -
Integrating force-based manipulation primitives with deep visual servoing for robotic assembly
by: Lee, Yee Sien
Published: (2022) -
Large-scale 3D printing with multiple mobile robots for building and construction
by: Zhang, Xu
Published: (2021)