The robotic hand can mimic the functions of human hands and arms, serving as an automated device for fixed-program gripping, transporting objects, or operating tools. The robotic hand is one of the earliest industrial robots and the first modern robot, capable of replacing complex human labor to achieve automation in production, and can operate in harsh and dangerous environments to protect personal safety, widely used in the field of industrial automation.
In recent years, robotic arms have been evolving towards greater intelligence, with increasing performance demands, such as high speed, high precision, and high reliability, posing new challenges for their development.MATLAB/Simulink provides a new model-based design development approach, enabling algorithm engineers, control engineers, and others to develop robotic arm algorithms more quickly and efficiently with the help of tools.
The Robotics Lecture Hall, in collaboration with MathWorks, invites MathWorks Senior Application Engineer Zhou Ling to host a special live session, demonstrating how to use MATLAB and Simulink to complete the workflow of robotic arm algorithm development, with a focus on motion planning. Moreover, with the release of R2020b, several toolboxes discussed in this lecture have also been enhanced in this upgrade. For example, improvements in trajectory optimization in the Navigation Toolbox; loading additional rigid body tree robot models into the existing model library in the Robotics System Toolbox for robotic hands and mobile robots; and new functionalities in the ROS Toolbox for accessing ROS from Windows, Mac OS, and Linux, etc.
This course is suitable for intermediate MATLAB users, as well as robotic algorithm engineers, control engineers, or engineers working on robotic arm motion control.
Guest Speaker
Zhou Ling
Senior Application Engineer at MathWorks China
· Mainly responsible for the application and promotion of model-based design in the field of industrial automation, including system modeling, simulation, testing, verification, and code generation.
· Previously engaged in large system simulation and code generation at aerospace institutions and GE R&D centers. Graduated from Shanghai Academy of Spaceflight Technology, specializing in navigation, guidance, and control.
Key Points of the Sharing
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How to import robotic arm description files into MATLAB
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Designing and validating task scheduling logic
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Practical tips for robotic arm motion trajectory planning
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Automatically generating code for software implementation
Live Session Information
Live Session Time:October 15, 2020 (Thursday) at 19:30
Viewing Method: Scan the code to register for the live link
Don’t forget to register for the live session after reading the article!
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