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Course Date:
10 Oct 2022 to 13 Oct 2022
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Registration Period:
08 Sep 2022 to 24 Sep 2022
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Duration/Frequency:
TBA
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Mode of Training:
Facilitated Learning (F2F)
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Venue:
Day 1 to 3: 10 to 12 Sep (SP) Day 4: 13 Sep (ARTC)
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Funding:
Eligible for SkillsFuture Credit
This course is created in collaboration with ROS-Industrial Asia Pacific Consortium that is promoting the next generation of robotic products and solutions, supporting the robotics industry and community in Asia Pacific with workshops, events and training related to ROS.
The course provides participants with the state-of-art skills required to setup a ROS platform and configure various functions of the ROS. They will have hands-on experience in using Linux (Ubuntu) and the advanced ROS platform.
Besides that, participants are exposed to an extensive use of practical exercises. They will also learn how to integrate the ROS platform into an industrial robot application & the various concepts of robotics such as perception, manipulation and path planning. Upon course completion, the participants will be equipped with the skills to integrate these technologies through the ROS platform.
Course’s Learning Outcomes:
By the end of the course, participants will be able to:
• Integrate various robotics technologies through ROS
• Develop a complex robotics system in ROS
• Deploy the ROS system with physical robots
Topics to be covered
A. SETUP PC
1. Setup PC
B. LINUX FUNDAMENTALS
1. Introduction to Ubuntu GUI
2. The Linux File System
3. The Linux Terminal
4. Altering Files
5. Job Management
C. ROS CONCEPTS and FUNDAMENTALS
1. Services
2. Actions
3. Launch Files
4. Parameters
D. WORKCELL SETUP AND CONFIGURATION
1. Introduction to URDF
2. Workcell XACRO
3. Transforms using TF
4. Build a MoveIt! Package
5. Motion Planning using RViz
E. DESCARTES AND PERCEPTION
1. Motion Planning using C++
2. Introduction to Descartes
3. Introduction to Perception
F. PATH PLANNING AND BUILDING A PERCEPTION PIPELINE
1. Implementation of pipeline connecting perception with motion planning
2. Concepts using Cartesian and STOMP-based path planning
3. Simulation of pipeline in RViz
4. Validation of pipeline using physical robot cell