This is the work log for ISARC 2020 Project.
- 
Abstract
 - 
Introduction
- Background [3D Printing + Construction ]
 - Research Gap [Rely on manual adjustment]
 -  Purpose a new approach ==> Need to highlisht main controbution
- Detection + Control
 
 
 - 
Related work
- Reference collection & Summary writing
 - Topic 1: Construction 3D Printing [NTU 3D Printing] [Mention Material]
 - Topic 2: Currently 3D Printing defect detection [Plastic] [Concert]
 - Topic 3: Closed-loop control in 3D Printing
 - Summary novelty & difference with other method
 
 - 
Method
-  Sensor Introduction
- RGB-D: Microsoft Azure Kinect
 
 -  3D Printing Platform
- UR10 + Printing Head + Material
 - ROS + Moveit!
 
 -  Defect & Deviation Detection
- Layer Defect & Deviation [Integrity] [Shape Error]
 - Surface Defect [Overfill & Underfill]
 - Print Model Deviation [Misalignment between the layers]
 - Extra: Extruder Detection [Bubble Detection]
 
 - Feedback control pipline Pipeline
 
 -  Sensor Introduction
 - 
Experiments
- Experiments setup
 -  Task 1 : Static surface / layer Inspection
- Subtask 1: Heatmap for each types defect & deviation
 - Subtask 2: Using mask for Model Deviation Test
 
 -  Task 2 : 3D printing test
- Subtask 1: Mention Hand eye calibration
 - Subtask 2: Manual makeup defect [to show our approch could work in real world]
 - Subtask 3: 3D printing simulation [present whole processing in simulation]
 
 
 - 
Conclusions