ROS-Industrial: ROS2 Mobile Robot Navigation (Nav2) Competency
About This Course
• The global Robot Operating System (ROS) market was valued at US$371.3M in 2020 and is expected to reach US$753.6M by 2028, at a CAGR of 9.5% from 2021 to 2028. This is because there is a growing demand for automation in various sectors, advancements in robotics technology, and the increasing use of ROS in collaborative robots as key drivers for this growth. By 2025, over 40% of all commercial robots will have at least one ROS package installed.
• Targeted sector(s) background and needs for the training.
o Industrial Automation: Industrial automation involves the use of technology to automate manufacturing processes. ROS training is required for developing robotics solutions for material handling, pick and place, and assembly, such as palletizing, packaging, and machine tending.
o Warehouse: In a warehouse, RMF is required to manage and control autonomous mobile robots (AMRs) that are used for material handling, such as picking and transporting goods. RMF helps to optimize warehouse operations, reduce human errors, and increase productivity.
o Healthcare: In healthcare, RMF is required to develop and deploy robotics solutions for various applications such as surgery, rehabilitation, and telemedicine. RMF helps to ensure safety, accuracy, and reliability of medical robotics systems, and also facilitates integration with other healthcare systems and devices.
o Facility Management: Equip professionals with the skills needed to develop and operate robotic systems for autonomous navigation, mapping, and path planning. This training enhances efficiency and streamlines operations in the facilities management sector.
• Several ROS-I consortium members were consulted during a recent Roadmapping session and highlighted interest in development in Robot Navigation. Omron, Schaeffler and Infineon indicated the need to incorporate this into their automation initiative.
What You'll Learn
The course is specifically tailored for individuals seeking employment, job development, or job upgrading opportunities in the rapidly evolving field of autonomous navigation. With the rising demand for autonomous systems in industries such as logistics, transportation, and robotics, this course provides participants with the necessary skills and competencies, through programming and coding, to meet industry requirements and contribute effectively to the development of cutting-edge navigation technologies.
Relevance to the industry is a key aspect of the Nav2 course. By addressing the industry's need for skilled professionals in autonomous navigation, the course aligns with the current trends and demands of the market. Participants will gain practical insights into SLAM theory, navigation algorithms, and software frameworks used in industry-leading autonomous systems. Through hands-on project, participants will develop the ability to solve complex navigation challenges and contribute to the advancement of autonomous technologies.
Overall, the Nav2 course bridges the performance gaps in autonomous navigation by providing participants with the necessary skills, competencies, and knowledge required for successful employment, job development, or job upgrading. The course's industry relevance ensures that participants are equipped with practical expertise that directly addresses the needs of the rapidly evolving autonomous navigation industry.
Entry Requirements
• Basic programming skills (C++ and python)
• Familiar with the Linux terminal
• Familiarity with ROS 2
• Basic knowledge of sensors