Please see the below message from MathWorks, a global sponsor of RoboCup:

Dear RoboCup teams,

Here are some quick MATLAB updates for R2022a:

1. R2022a Version of MATLAB https://www.youtube.com/watch?v=yvTjkwroCfo is available and can be downloaded here https://www.mathworks.com/downloads/web_downloads/ 2. Complimentary licenses for ALL RoboCup teams https://www.mathworks.com/academia/student-competitions/robocup.html are available for the 2022 season 3. The new *RoboCup Autonomous Robot Manipulation Challenge* https://arm.robocup.org/ uses MATLAB/Simulink and is *accepting registrations until May 2022.*

You can explore the release notes https://www.mathworks.com/help/relnotes/ for all new features in R2022a. We put together some feature highlights below for Robotics and Autonomous Systems related products we thought the RoboCup community might find interesting:

- Robotics System Toolbox https://www.mathworks.com/help/robotics/release-notes.html - Scenario and sensor simulation tools - Inverse Kinematics Designer application - Support for Gazebo 11 Co-Simulation - ROS Toolbox https://www.mathworks.com/help/ros/release-notes.html - ROS/ROS2 Node generation from MATLAB - Generation of CUDA optimized ROS2 nodes from Simulink - Support for ROS Noetic, ROS2 Foxy - Navigation Toolbox https://www.mathworks.com/help/nav/release-notes.html - Model SLAM and structure from motion with factor graphs - Additional lidarSLAM Properties - Sensor Fusion and Tracking Toolbox https://www.mathworks.com/help/fusion/release-notes.html - EKF-based flexible fusion framework for INS data - Correct, handle, retrodict and simulate out-of-sequence measurements - Computer Vision Toolbox https://www.mathworks.com/help/vision/release-notes.html - Instance segmentation using Mask R-CNN networks - Support for YOLOv4 - Examples for Visual SLAM - Lidar Toolbox https://www.mathworks.com/help/lidar/release-notes.html - Lidar Odometry and Mapping (LOAM) - Lidar Labeler Enhancements - Deep Learning Examples using Lidar