diff --git a/README.md b/README.md
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+++ b/README.md
@@ -31,200 +31,160 @@ Looking for content specific to robotics applications? Check out the [Awesome-MA
* [Quanser Pick and Place labs](https://www.mathworks.com/matlabcentral/fileexchange/125250-quanser-qarm-pick-and-place-using-mathworks-toolboxes)
* [VEX Robotics V5 support](https://www.mathworks.com/matlabcentral/fileexchange/68649-simulink-coder-support-package-for-vex-edr-v5-robot-brain)
* [Turtlebot support](https://www.mathworks.com/matlabcentral/fileexchange/55578-ros-toolbox-support-package-for-turtlebot-based-robots)
-* [ROS on Raspberry Pi](https://www.mathworks.com/help/supportpkg/raspberrypi/ref/getting-started-with-robot-operating-system-ros-on-raspberry-pi-r.html)
+* [ROS on Raspberry Pi](https://www.mathworks.com/help/simulink/supportpkg/raspberrypi_ref/getting-started-with-robot-operating-system-ros-on-raspberry-pi-r.html)
## Learning Topics
-
### Introduction to Robotics
+ [(Beginner) Robotics Playground [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/67157-robotics-playground?s_tid=srchtitle) 9 Lessons covering how to use distance sensors, encoders, limit switches, and MATLAB and Simulink basics.
+[(Beginner) Mobile Robotics Tutorials [Curriculum | Videos]](https://www.mathworks.com/videos/series/student-competition-mobile-robotics-training.html) 5 Video tutorials teaching basics programming skills and controls theory for autonomous path navigation.
-[(Beginner) Robotics Playground [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/67157-robotics-playground?s_tid=srchtitle)
- 9 Lessons covering how to use distance sensors, encoders, limit switches, and MATLAB and Simulink basics.
- 
-[(Beginner) Mobile Robotics Tutorials [Curriculum | Videos]](https://www.mathworks.com/videos/series/student-competition-mobile-robotics-training.html)
- 5 Video tutorials teaching basics programming skills and controls theory for autonomous path navigation.
- 
-[(Intermediate) Control of Mobile Robots [Curriculum]](https://www.mathworks.com/academia/courseware/control-mobile-robots.html)
- 7 Lessons covering controllers, PID, Obstacle avoidance, controller arbitration, wall following and complete navigation system.
-[(Intermediate) Applied Autonomous Robots I [Curriculum]](https://www.mathworks.com/academia/courseware/applied-autonomous-robots-1.html)
- 9 Lessons and exercises including basic code development, kinematics, perception, control, trajetories, potential fields, and a computer vision teaser.
-[(Advanced) Applied Autonomous Robots II [Curriculum]](https://www.mathworks.com/academia/courseware/applied-autonomous-robots-2.html)
- 9 Lessons covering basics of computer vision, physics of color, visual servoing, filtering, camera calibration, K-means clustering and Kalman filters.
-[(Advanced) Robotics Playground Expansion Pack [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/80080-robotics-playground-expansion-pack?s_tid=srchtitle)
- 5 Lessons on Robot Navigation, Robot Manipulation, Contact Modeling, Path Planning implemented in a 3D simulator with realistic physics.
-[(Beginner) Physics Course with Symbolic Math [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/68799-physics-course-with-symbolic-math-toolbox-and-live-editor)
- Chapter 4 includes live script covering classical mechanics
-[(Intermediate) Electromechanical Systems [Curriculum]](https://www.mathworks.com/academia/courseware/electromechanical-engineering-systems.html)
- 13 Lessons covering electromechanics in depth. Some topics include digitization, electrical systems, control systems basics, filter design, PWM, physical modeling, discretization,and DC motors.
-[(Advanced) Modeling, Design, and Control of Robotic Mechanisms - Kyungnam University (Curriculum)](https://www.mathworks.com/academia/courseware/modelling-design-control-robotic-mechanisms.html)
- 4 Topics covering planar robot dynamics, 2-DOF simulation, real-time control and an arduino project for a walking robot.
+[(Advanced) Modeling, Design, and Control of Robotic Mechanisms - Kyungnam University (Curriculum)](https://www.mathworks.com/academia/courseware/modelling-design-control-robotic-mechanisms.html) 4 Topics covering planar robot dynamics, 2-DOF simulation, real-time control and an Arduino project for a walking robot.
[(Beginner) Controls Tutorials - University of Michigan (Curriculum)](https://ctms.engin.umich.edu/CTMS/index.php?aux=Home)
- 70+ Control system tutorials including system modeling and analysis, controller design and analysis, simulation, and physical modeling, for 8 applications (motors, automobile, aircrafts, pendulums, etc).
-[(Beginner) Transfer Function Analysis of Dynamic Systems (Curriculum)](https://www.mathworks.com/academia/courseware/transfer-function-analysis.html)
+[(Beginner) Controls Tutorials - University of Michigan (Curriculum)](https://ctms.engin.umich.edu/CTMS/index.php?aux=Home)
+ 70+ Control system tutorials including system modeling and analysis, controller design and analysis, simulation, and physical modeling, for 8 applications (motors, automobiles, aircraft, pendulums, etc).
+
+[(Beginner) Transfer Function Analysis of Dynamic Systems (Curriculum)](https://www.mathworks.com/academia/courseware/transfer-function-analysis.html)
4 lessons and live scripts covering transfer functions, pole-zero and frequency domain analysis.
-[(Beginner) Control Design Onramp with Simulink (Interactive Tutorials)](https://matlabacademy.mathworks.com/details/control-design-onramp-with-simulink/controls)
+
+[(Beginner) Control Design Onramp with Simulink (Interactive Tutorials)](https://matlabacademy.mathworks.com/details/control-design-onramp-with-simulink/controls)
1-Hour interactive tutorial covering the basics of plant modeling, linearization, feedback control and PID tuning.
-[(Intermediate) Control of Mobile Robots (Curriculum)](https://www.mathworks.com/academia/courseware/control-mobile-robots.html)
+
+[(Intermediate) Control of Mobile Robots (Curriculum)](https://www.mathworks.com/academia/courseware/control-mobile-robots.html)
7 Lessons covering controllers, PID, Obstacle avoidance, controller arbitration, wall following and complete navigation system.
-[(Intermediate) Embedded Control and Mechatronics - Southern Illinois University (Curriculum)](https://www.mathworks.com/academia/courseware/embedded-control-mechatronics.html)
- 14 Lectures and 2 projects covering, dynamic system modeling, system identification, simulation of nonlinear systems, analysis of linear control systems, lead-lag control, PID, LQR, oprimization-based control, and LQG.Projects use Arduino for hardware implementation.
-[(Advanced) Feedback linearization and nonlinear control of two link robots [Example]](https://www.mathworks.com/matlabcentral/fileexchange/115365-feedback-linearization-control-two-link-robot-using-matlab?s_tid=srchtitle)
+
+[(Intermediate) Embedded Control and Mechatronics - Southern Illinois University (Curriculum)](https://www.mathworks.com/academia/courseware/embedded-control-mechatronics.html)
+ 14 Lectures and 2 projects covering, dynamic system modeling, system identification, simulation of nonlinear systems, analysis of linear control systems, lead-lag control, PID, LQR, optimization-based control, and LQG. Projects use Arduino for hardware implementation.
+
+[(Advanced) Feedback linearization and nonlinear control of two link robots [Example]](https://www.mathworks.com/matlabcentral/fileexchange/115365-feedback-linearization-control-two-link-robot-using-matlab?s_tid=srchtitle)
Simulation of a two-link robot corresponding to Example 6.2 of Applied Nonlinear Control by Slotine.
-[(Advanced) Reinforcement Learning with MATLAB (Curriculum)](https://www.mathworks.com/matlabcentral/fileexchange/111460-reinforcement-learning-rl-with-matlab)
- 4 Learning Modules on reinforcement learning covering Q-learning for MDP, Stochastic Gridwrold with DQN, thermal control with DDPG Agent, and robot walking.
-[(Beginner) Intro to Image Processing - University of Wisconsin-Madison](https://serc.carleton.edu/teaching_computation/workshop_2020/activities/239248.html)
+[(Beginner) Intro to Image Processing - University of Wisconsin-Madison](https://serc.carleton.edu/teaching_computation/workshop_2020/activities/239248.html)
This short project introduces students to image processing with MATLAB including importing images from the web, color transformations, circle finding, and edge finding.
-[(Beginner) Getting Started with Perception [Videos | Examples]](https://www.mathworks.com/videos/series/making-vehicles-and-robots-see-getting-started-with-perception-for-students.html)
+
+[(Beginner) Getting Started with Perception [Videos | Examples]](https://www.mathworks.com/videos/series/making-vehicles-and-robots-see-getting-started-with-perception-for-students.html)
Video tutorials and examples for:
-
- - Basic Image Processing
- - Image Segementation
- - Feature Matching and Tracking
- - Point-Cloud Processing
-
-[(Beginner) Image Processing Onramp with MATLAB](https://matlabacademy.mathworks.com/details/image-processing-onramp/imageprocessing)
- 2-Hour interactive course covering image handling in MATLAB, image segmentation, pre and post processing techniques,classification, and batch processing.
-[(Intermediate) Computer Vision Onramp (Self-Paced Tutorials)](https://matlabacademy.mathworks.com/details/computer-vision-onramp/orcv)
+ - Basic Image Processing
+ - Image Segmentation
+ - Feature Matching and Tracking
+ - Point-Cloud Processing
+
+[(Beginner) Image Processing Onramp with MATLAB](https://matlabacademy.mathworks.com/details/image-processing-onramp/imageprocessing)
+ 2-Hour interactive course covering image handling in MATLAB, image segmentation, pre and post processing techniques, classification, and batch processing.
+
+[(Intermediate) Computer Vision Onramp (Self-Paced Tutorials)](https://matlabacademy.mathworks.com/details/computer-vision-onramp/orcv)
2-Hour interactive tutorial covering processing of video data, feature extraction and matching, object detection, and tracking.
-[(Intermediate) Image processing with MATLAB (Self-paced Course)](https://matlabacademy.mathworks.com/details/image-processing-with-matlab/mlip)
+
+[(Intermediate) Image processing with MATLAB (Self-paced Course)](https://matlabacademy.mathworks.com/details/image-processing-with-matlab/mlip)
11-Hour interactive tutorial covering working with images, segmentation based on color and texture, object detection, edge and shape detection, batch processing, and image registration.
-[(Advanced) Deep Learning Onramp (Self-Paced Course)](https://matlabacademy.mathworks.com/details/deep-learning-onramp/deeplearning)
- 2-Hour interactive tutorial covering usage of pre-trained neural networks, image management, and transfer learning for classification.
-[(Beginner) Intro to MATLAB Programming (Self-Paced Course)](https://matlabacademy.mathworks.com/details/matlab-onramp/gettingstarted)
- 2-Hour Introduction to programming tutorial using MATLAB. Covering programming environment, relational operators, arrays, vectors, matrices, functions, plotting, and data import.
-[(Intermediate) MATLAB and Simulink ROS Tutorials [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/118630-matlab-and-simulink-ros-tutorials)
+[(Intermediate) MATLAB and Simulink ROS Tutorials [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/118630-matlab-and-simulink-ros-tutorials)
9 Lessons with hands-on projects teaching the basics of interacting with robots powered by ROS (Robot Operating System).
-[(Advanced) Getting Started with MATLAB, Simulink and ROS [Examples | Videos | GitHub]](https://github.com/mathworks-robotics/getting-started-ros)
+
+[(Advanced) Getting Started with MATLAB, Simulink and ROS [Examples | Videos | GitHub]](https://github.com/mathworks-robotics/getting-started-ros)
Examples and video tutorials on:
-
- - Using MATLAB with ROS
- - Using Simulink with ROS
- - Automatic Code Generation for ROS Nodes
- - Distributed Computing Using ROS
-
-[(Beginner) Introduction to Mobile Robotics (Self-paced Tutorials)](https://www.mathworks.com/videos/series/student-competition-mobile-robotics-training.html)
- 5 Video tutorials with accompanying simualtions covering robot control, PID design, line following, obstacle detection and path navigation.
-
- [(Beginner) Navigation Stack Templates for Mobile Robots [Examples | Videos]](https://www.mathworks.com/matlabcentral/fileexchange/95998-autonomous-navigation-for-mobile-robots-and-ugv?s_tid=srchtitle)
- Reference application and examples for:
-
- - Mapping
- - Path Following
- - Path Planning
- - Trajectory Generation
- - Monte Carlo Localization
- - SLAM
-
-
-
- [(Intermediate) Localization and Kalman Filters [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/109485-lessons-on-mobile-robot-localization-and-kalman-filters?s_tid=srchtitle)
- 6 Lessons explaining the basics of landmark-based robot localization including: Sensor processing, robot control, localization and kalman filter theory, and ROS implementation.
-
+
+[(Beginner) Introduction to Mobile Robotics (Self-paced Tutorials)](https://www.mathworks.com/videos/series/student-competition-mobile-robotics-training.html)
+ 5 Video tutorials with accompanying simualtions covering robot control, PID design, line following, obstacle detection and path navigation.
+
+[(Beginner) Navigation Stack Templates for Mobile Robots [Examples | Videos]](https://www.mathworks.com/matlabcentral/fileexchange/95998-autonomous-navigation-for-mobile-robots-and-ugv?s_tid=srchtitle)
+Reference application and examples for:
+- Mapping
+- Path Following
+- Path Planning
+- Trajectory Generation
+- Monte Carlo Localization
+- SLAM
+
+[(Intermediate) Localization and Kalman Filters [Curriculum]](https://www.mathworks.com/matlabcentral/fileexchange/109485-lessons-on-mobile-robot-localization-and-kalman-filters?s_tid=srchtitle)
+ 6 Lessons explaining the basics of landmark-based robot localization including: Sensor processing, robot control, localization and kalman filter theory, and ROS implementation.
**Manipulation**
-
- [(Beginner) Forward/Inverse Kinematics of 2-link robots [Interactive Example]](https://www.mathworks.com/matlabcentral/fileexchange/69892-inverse-kinematics-of-a-2-link-robot-arm?s_tid=srchtitle)
- Example and simulation explaining how to derive forward/inverse kinematics, and jacobian of a 2-link chain. With final project robot writing "hello" with end effector.
-
-
- [(Begineer) Workspace Analysis of Planar n-DOF robots [Example]](https://www.mathworks.com/matlabcentral/fileexchange/71136-plotworkspace-plot-workspace-of-n-dof-planar-robot?s_tid=srchtitle)
- Use this function to visualize and analyze the workspaces of planar robots from their DH parameters.
-
-
- [(Intermediate) Modeling and Control of Serial Manipulators using Dual-Quaternions](https://github.com/dqrobotics/learning-dqrobotics-in-matlab/tree/master/robotic_manipulators)
- 8 Lessons covering how to use Dual-Quaternion (DQ) robot representations for kinematic modeling and robot control.
-
- [(Intermediate) Designing Manipulator Algorithms [Examples | Simulations]](https://www.mathworks.com/matlabcentral/fileexchange/65316-designing-robot-manipulator-algorithms?s_tid=srchtitle)
- Reference application and examples demonstrating:
-
- - Task Space Control
- - Joint Space Control
- - Forward/Inverse Kinematics
- - Closed-loop control
- - Supervisory logic and task scheduling
- - Actuator Modeling
-
- No content yet :'( Any suggestions for this topic?
- [Modeling Multi-Agent Robot Systems - University of Washington](https://www.pronobis.pro/teaching/mas/)
- 4 Lectures and accompanying code examples covering deling multi-agent systems, graph theory for interaction, agreement protocol for rendezvous, and formation control.
- [(Begineer) Reinforcement Learning Onramp [Self-Paced Course]](https://matlabacademy.mathworks.com/details/reinforcement-learning-onramp/reinforcementlearning)
- 3 Hour interactive tutorial covering Reinforcement learning overview, defining environments, defining agents, and training agents.
- [(Intermediate) Q-learning for 4-Link robot walker [Interactive Simulator]](https://www.mathworks.com/matlabcentral/fileexchange/72928-4-link-robotic-simulator?s_tid=srchtitle)
- Kinematic simulator for 4-link robot walking demonstrating practical programming, inverse kinematics, Q-learning for motion control, and simulated annealing.
- [(Intermediate) Reinforcement Learning with MATLAB (Curriculum)](https://www.mathworks.com/matlabcentral/fileexchange/111460-reinforcement-learning-rl-with-matlab)
- 4 Learning Modules on reinforcement learning covering Q-learning for MDP, Stochastic Gridwrold with DQN, thermal control with DDPG Agent, and robot walking.
-