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Home Explore ROS-Industrial ROS2-based Navigation

ROS-Industrial ROS2-based Navigation

Published by SIMTech, 2021-05-05 23:34:08

Description: Programme Information

Training Period: 25 to 28 January 2022 (Via ZOOM)

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DRAFT LEARN Robot PRACTISE Operating System & IMPLEMENT™ Navigation 2 (ROS2) Organised by: Funded by:

ROS navigation stack is one of the most popular navigation solutions in mobile robots since 2010. It allows mobile robots to move around autonomously. Recently, a new ROS navigation stack (Navigation2) is released with the new ROS version (ROS2). It inherits a set of foundational implementations of algorithms including A* and Dynamic Window Approach (DWA) for planning and control from Navigation1 and adds features including a behaviour tree navigator and task-specific asynchronous servers for achieving highly modularity. ROS2 provides a real-time capability that ROS1 originally did not. ROS2 is built on the Data Distribution Service (DDS) communication standard. DDS is used in real-time applications such as aircraft, missile systems, and financial systems. For professional mobile robots moving in excess of 2 m/s near humans, many safety and reliability concerns must be addressed. Navigation2 is designed on top of ROS2 to address functional safety standards and determinism. In the future, Navigation2 will enable more robots in time-critical situations. About this Programme This course introduces new cutting-edge sensor technologies, reviews the latest navigation algorithms, and explains the Navigation2 architecture. Typical sensors used in robot navigation include inertial measurement units (IMUs), vision sensors, and range sensors. Participants will have the opportunity to have hands-on experience with the latest sensors (i.e. Intel’s RealSense Camera and Velodyne’s 3D LiDAR). Robot navigation involves a vast amount of knowledge and experience (EKF SLAM, particle filter, pose graph, loop closure, DWA, A*, etc.). The course allows participants to explore current and future changes in the research landscape of navigation algorithms. Navigation2 is highly modular for integrating new sensors and new algorithms. Apart from the basic setup for navigation2 in a real robot, industrial experts will demonstrate how to integrate new sensors and implement new algorithm plugins. Quality assurance is critical for preventing regressions for software development and analyzing the performance of various algorithms. The Gazebo-based simulation tests for continuous integration pipeline to emulate the entire robot navigation stack will also be demonstrated. Who Should Attend This course is designed to enhance the knowledge and skills of business owners, CEOs, directors, senior managers, and professionals who are in the areas of robot navigation etc.

Course Outline Skills Course Reference Number: To be confirmed (32 training hours) The course is conducted through the following sequential instructional units and learning units which aim to increase the participants’ level of understanding of ROS2 navigation and skills needed to develop navigation 2 on real robots. Classroom Case Studies Hands-on Practise Learning Assesment Lectures Discussions Practical (with Mentorship) Sessions Learning Unit 1: Cutting-Edge Senor Technologies Learning Unit 2: Mapping Research Landscape Learning Unit 3: Write codes using Navigation 2 Upon Completion of this Programme Participants will be awarded with a certificate of attendance by ARTC. Course Fee and Funding • The nett course fee for all Singaporeans and SPRs aged 21 years old and above is S$780 (before GST). • Employees fully sponsored by SMEs can claim an additional 20% of the full course fee with the Enhanced Training Support for SMEs Funding scheme (ETSS), subject to approval by SSG. • Singaporeans aged 40 years and above can claim an additional 20% of the full course fee with the Mid-Career Enhanced Subsidy (MCES). • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only). • The full course fee before funding is S$2,600 (before GST). For more information about the funding, please visit SkillsFuture Singapore website at www.ssg.gov.sg

About the Trainer Mr Alan Xue is the Technical Lead for ROS-Industrial Consortium Asia Pacific. ROS-Industrial Consortium Asia Pacific is based in Singapore and managed by A*STAR Advanced Remanufacturing and Technology Centre (ARTC). ROS-Industrial (ROSI) is an open-source project that extends the advanced capabilities of ROS software to industrial relevant hardware and applications. Mr Xue has over 10 years of research and industry experience in software engineering. He formerly developed the navigation stack for Dyson 360 Heurist. When and Where Dates: Please visit our website at www.a-star.edu.sg/ARTC/KTO for the course schedule. Time: 9.00am to 6.00pm Venue: Advanced Remanufacturing and Technology Centre (ARTC) 3 CleanTech Loop, #01/01, CleanTech Two, Singapore 637143 Registration Please register online at www.a-star.edu.sg/ARTC/KTO Contact Us For general enquiries, please contact: Dr Edwin Soh, Senior Business Development Manager Email: [email protected] For technical information, please contact: Mr Alan Xue, Technical Lead for ROS-Industrial Consortium Asia Pacific Email: [email protected] Scan the QR code for more information. 05/2021


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