Review summary（二）
The high level of English is a standard for a top student.
1. Life is not successful, success is temporary; life is successful, not successful is temporary.”
2. The wind blows as usual. Flowers bloom as usual. The sun rises from the east as before. But something has changed.
3. Courage isn’t having the strength to go on – it’s going on when you don’t have strength.
4. Autumn paints in colors that summer has never seen.
5. To see the golden sun and the azure sky, the outstretched ocean, to walk on the green earth, and to be a lord of a thousand creatures
6. If you want to tell people the truth, make them laugh, otherwise, they’ll kill you.
7. Wish you a perfect life just like the roundest moon in Mid-Autumn Day
8. I hope you have the courage to advance an inch, and also back a foot of calm.
9. When life is at this moment to begin your favor, if you do not respond to is a crime
10. Sometimes it seems that some people have forgiven you. It’s because you have become less important to them.
11. If you feel lost, just take a deep breath and realize that being lost can be a turning point in finding out who you truly are, and what you truly want to do.
12. Nothing succeeds like confidence. When you are truly and justifiably confident, it radiates from you like sunlight and attracts success to you like a magnet. It's important to believe in yourself. Believe that you can do it under any circumstances, because if you believe you can, then you really will.
13. Fake friends believe your fake smile, true friends see the tears you're hiding inside.
14. It is not because of being great that brings your dreams. It is because of the dream, you become a great man.
15. The healthiest response to life is a joy.
16. The great use of life is to spend it on something that over lasts it.
17. I don't think that when people grow up, they will become more broadminded and can accept everything. Conversely, I think it's a selecting process, knowing what's the most important and what's the least. And then be a simple man.
18. Not enough time to work hard, There's no time to despair.
19 The people who put up with you on your darkest nights should be the ones you spend your brightest days with.
20. The happiness is the care you give and the most beautiful moment in your company.
Robotics and Autonomous Systems (https://ww2.mathworks.cn/solutions/robotics.html)
MATLAB and Simulink for Robotics:
Convert your robotics ideas and concepts into autonomous systems that work seamlessly in real-world environments.
Robotics researchers and engineers use MATLAB and Simulink to design and tune algorithms, model real-world systems, and automatically generate code – all from one software environment.
With MATLAB and Simulink, you can:
- Connect to and control your robot with the algorithms you develop.
- Develop hardware-agnostic algorithms and connect to the Robot Operating System (ROS).
- Connect to a range of sensors and actuators so you can send control signals or analyze many types of data.
- Eliminate hand-coding by automatically generating code for embedded targets like microcontrollers, FPGAs, PLCs, and GPUs in many languages such as C/C++, VHDL/Verilog, Structured Text, and CUDA.
- Connect to low-cost hardware such as Arduino and Raspberry Pi using pre-built hardware support packages.
- Simplify design reviews by creating shareable code and applications.
- Work with legacy code and integrate with existing robotics systems.
Path Planning and Navigation for Autonomous Robots
Simplify the complex tasks of robotic path planning and navigation using MATLAB® and Simulink®. This demonstration walks through how to simulate a self-parking car with just three components: a path, a vehicle model, and a path following algorithm. These lessons can be applied to all autonomous robots – not just self-driving cars.
Start in MATLAB, where you can create a map of the environment. Next, you can generate a path for the robot to follow using built-in path planners. Use Simulink to create the vehicle model and customize it to be as complex as you need. Lastly, you can use built-in algorithms and blocks in MATLAB and Simulink to create the path-following algorithm.
Path Planning in Environments of Different Complexity
This example demonstrates how to compute an obstacle-free path between two locations on a given map using the Probabilistic Roadmap (PRM) path planner. PRM path planner constructs a roadmap in the free space of a given map using randomly sampled nodes in the free space and connecting them with each other. Once the roadmap has been constructed, you can query for a path from a given start location to a given end location on the map.
In this example, the map is represented as an occupancy grid map using imported data. When sampling nodes in the free space of a map, PRM uses this binary occupancy grid representation to deduce free space. Furthermore, PRM does not take into account the robot dimension while computing an obstacle-free path on a map. Hence, you should inflate the map by the dimension of the robot, in order to allow computation of an obstacle-free path that accounts for the robot's size and ensures collision avoidance for the actual robot. Define start and end locations on the map for the PRM path planner to find an obstacle-free path.
Mapping With Known Poses
(https://ww2.mathworks.cn/help/robotics/examples/mapping-with-known-poses.html)
This example shows how to create a map of the environment using range sensor readings if the position of the robot is known at the time of sensor reading. This example also shows how to use the conversion functions (such as quat2eul) from Robotics System Toolbox™.
This example creates a map from range sensor readings and known poses of the robot. For the purpose of this example, you will use a MATLAB® based simulator to drive the robot, observe the range sensor readings and the robot poses. You can replace the simulator with either a real robot or a simulated robot in the Gazebo simulator, in which case you will need some means to get the true position of the robot at the time of sensor reading.
Ground Vehicle Algorithms
(https://ww2.mathworks.cn/help/robotics/ground-vehicle-algorithms.html)
These Robotics System Toolbox™ algorithms focus on mobile robotics applications (i.e. ground vehicles). These classes help you with the whole mobile robotics workflow. You can create maps of environments using occupancy grids, perform simultaneous localization and mapping (SLAM), develop path planning for robots in a given environment, and tune controllers to follow a set of waypoints. Also, you can perform obstacle avoidance, state estimation, and localization based on sensor data from your robot.
Connect to a ROS-enabled Robot from Simulink®
(https://ww2.mathworks.cn/help/robotics/examples/connect-to-a-ros-enabled-robot-in-simulink.html)
This example shows you how to configure a Simulink model to send and receive information from a separate ROS-based simulator such as Gazebo®.
Introduction
You can use Simulink to connect to a ROS-enabled physical robot or to a ROS-enabled robot simulator such as Gazebo. In this example, you will learn how to:
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Configure Simulink to connect to a separate robot simulator using ROS
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Send velocity commands to the simulated robot
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Receive position information from the simulated robot
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Robotics System Toolbox(Features)
(https://ww2.mathworks.cn/products/robotics/features.html)
Key Features
Map utilization, path planning, path following, and state estimation algorithms
Robot localization and environment mapping using lidar sensors
Rigid body tree kinematics and dynamics algorithms
Bidirectional communication with live ROS-enabled robots
rosbag data import, message extraction, and coordinate transformation
Interface to Gazebo and other ROS-enabled simulators
ROS node generation from Simulink® models (with Simulink Coder™)
Road to scientific research
All the open experiences of life, as long as you don't try your best, you can't turn this page. If you don't know what the future is, you might as well go ahead and run, please remember: In the most ordinary life, humility and hard work. One day, you will stand in the brightest place and live the look you have longed for.
