Since the activity "Building an AgileX Ecosystem" has launched on June 24, AgileX Robotics has received many cases and open source demos from many users at home and abroad. Previously we shared three simulation videos contributed by Dr. Xianyu Qi from the Bionic Mobile Robot Laboratory of the School of Mechanical Engineering and Automation, BUAA. Dr. Qi used the open-source simulation environment of GAZEBO provided by the AgileX SCOUT 2.0 robot to realize Active SLAM, Pedestrian following and Multi-target navigation. Click the link to see the videos.
What I want to share today is the ROS training course conducted by our Singapore agents at the National University of Singapore. The training course mainly around how to develop robot applications, how to understand the development tools used by robots in different environments, and how to send and receive data from robots.
Robot Operating System (ROS), as an open-source software system, is equivalent to a kind of "Robot Frameworks" in some respects to build a universal robot software platform that can integrate different research results, realize algorithm release and code reuse.
ROS is a system with a steep learning curve, covering a wide range of knowledge. While conducting theoretical knowledge training, a robot (SCOUT 2.0) is also on-site, allowing students to follow the instructor's actual operations, quickly master core technologies, gain a deep understanding of ROS development methods, and how to apply them to real-world scenarios.
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Students are learning to disassemble commercial robots
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the students are arguing
Through this training activity, the trainees expressed a preliminary understanding of the ROS system and found the practical operation of the SCOUT 2.0 robot helpful for learning the ROS system and tracking. In this regard, we would like to express our gratitude to our Singaporean agents for their training at the National University of Singapore and hope they will open more training courses at local institutions. At the same time, we will provide further support and assistance to encourage more users to participate in the AgileX ecosystem.
