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Transbot SE📖
01.Introduction to Transbot SE
  • 01. Introduction to Transbot SE
  • 02. Precautions for use and battery safety
  • 03. First Trial
02.First Trial
  • 2.1.APP control
  • 2.2.USB wireless handle control(Optional)
  • 2.3.Handle video control Transbot(Optional)
  • 2.4.Network configuration tutorial in hotspot mode
03.Hardware control course
  • 3.1About expansion board and update firmware
  • 3.2.Close self-starting process
  • 3.3.Install Transbot library
  • 3.4.Control buzzer and button
  • 3.5.Control PWM servo
  • 3.6.Control bus servo
  • 3.7.Control motor
  • 3.8.Control robot movement
04.Linux operating system
  • 1. Virtual machine installation and use
  • 2. Linux basics
  • 3. Remote control
  • 4. Multi-machine communication configuration
  • 5. Static IP and hotspot mode
  • 6. Web page real-time monitoring
  • 7. Expansion tutorial
  • 8. Write system images
05.Docker couse(For Pi5)
  • 1.Docker overview and docker installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
  • 4.Docker hardware interaction and data processing
  • 5.Start the transbot se container
06.ROS basic course
  • 1.ROS introduction
  • 2.Project file structure
  • 3.Common commands and tools
  • 4.Publisher
  • 5.Subscribers
  • 6.Customize topic messages and use
  • 7.Client
  • 8.Server
  • 9.Custom service messages and usage
  • 10.TF release and monitoring
07.OpenCV courses
  • 1. Getting started with Open Source CV
  • 2. Open Source CV geometric transformation
  • 3. Open Source CV image processing and drawing text line segments
  • 4. Open Source CV image beautification
  • 5. Opencv application
  • 6. AR vision
  • 7. AR QR code
  • 8. ROS+Opencv foundation
  • 9. ROS+Opencv application
  • 10. MediaPipe development
08.ROS robot course
  • 1.PID algorithm
  • 2.Basic communication
  • 3.Keyboard control
  • 4.Handle control(Optional)
  • 5.Robot state estimation
  • 6.Data calibration
09.ROS simple camera course
  • 1.HD camera calibration
  • 2.HD camera color tracking
  • 3.HD camera color tracking (robotic arm)
  • 4.HD camera object tracking
  • 5. KCF target tracking
  • 6.HD camera face tracking
  • 7.HD camera robotic arm carrying
  • 8.HD camera Autopilot
10.ROS robotic arm control tutorial
  • 1.MoveIt configuration
  • 2.MoveIt control the real machine
  • 3.MoveIt moves randomly
  • 4.MoveIt kinematics design
  • 5.MoveIt cartesian path
  • 6.MoveIt avoiding
  • 7.MoveIt scene design
  • 8.MoveIt trajectory planning
  • 9.Mediapipe palm control car
  • 10.Mediapipe gesture control robotic arm
  • 11.Mediapipe gesture control car
  • 12.Mediapipe arm attitude control robotic arm
11.ROS multi-robot control(Optional)
  • 1. Multi-robot control(Optional)
  • 2. Multi-robot queue performance(Optional)
  • 3. Multi-robot robot arm dancing(Optional)
12.Deep learning courses
  • 1.KNN recognizes handwritten digits
  • 2.Basic use of TensorFlow
  • 3.Basic use of PyTorch(jetson)
  • 4.yolov5 model training(jetson)
  • 5.yolov5+tensorrt acceleration(jetson)
  • 6.yolov4-tiny
13.Installation Video
  • Part18
  • Part1-6
  • Part7-12
  • Part13.1-13.3.3
  • Part13.4.1-17
14.FAQnew
  • 1.Using your own Jetson board,Transbot-SE cannot start normally
Download
  • APP(iOS/Android)
  • System_File-Pi5
  • System_File-Pi4
  • System_File-Jetson
  • VM_File
  • Appendix
  • Code
  • InstructionManual
  • Jetson_Boot_USB.tar.gz
  • Hardware_Info
Download ZIP

Welcome to Transbot SE repository

6.MoveIt avoiding

MoveIt avoiding

6、MoveIt avoiding

6、MoveIt avoiding6.1. Start6.2. Source code6.2.1.py file6.2.2.C++ file6.3.Scene Object6.3.1. Add obstacles6.3.2.Delete obstacles

This lesson takes the MoveIT simulation as an example. If you need to set the synchronization between the real machine and the simulation, please refer to the lesson [02, MoveIt Precautions and Controlling the Real Machine]. ! ! ! be careful! ! !

The effect demonstration is a virtual machine, and other masters are running (related to the performance of the master, depending on the actual situation).

6.1. Start

Start the MoveIT

roslaunch transbot_se_moveit_config demo.launch 

Start collision detection node

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rosrun transbot_se_moveit_config 05_attached_object       # C++
rosrun transbot_se_moveit_config 05_attached_object.py    # python

Set the random motion for about 10 times. Since the target position is random, it can also randomly reach the obstacle. When the target position contacts the obstacle, the planning will fail.

The effect diagram is as follows

0601

6.2. Source code

6.2.1.py file

Set the size and pose of obstacles

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    # Set the 3D size of the obstacle [length, width and height]
    table_size = [0.2, 0.1, 0.02]
    table_pose = PoseStamped()
    table_pose.header.frame_id = 'dummy'
    table_pose.pose.position.x = 0
    table_pose.pose.position.y = 0.33
    table_pose.pose.position.z = 0.05
    table_pose.pose.orientation.w = 0.7

Add Obstacles to Scene

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    scene.add_box('obj', table_pose, table_size)

Set random move

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    index = 0
    while index < 10:
        # Set random target points
        transbot.set_random_target()
        # Start exercising
        transbot.go()
        sleep(0.5)
        index += 1
        print ("Plan {}th time!!!".format(index))

6.2.2.C++ file

Set the size and pose of obstacles

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    moveit::planning_interface::PlanningSceneInterface scene;
    /////////////////////////Add obstacles///////////////////////
    vector<string> object_ids;
    scene.removeCollisionObjects(object_ids);
    vector<moveit_msgs::CollisionObject> objects;
    moveit_msgs::CollisionObject obj;
    //Set the id of the obstacle
    obj.id = "obj";
    object_ids.push_back(obj.id);
    //Status of obstacles
    obj.operation = obj.ADD;
    obj.header.frame_id = frame;
    shape_msgs::SolidPrimitive primitive;
    //Set the obstacle type
    primitive.type = primitive.BOX;
    //Set obstacle dimension
    primitive.dimensions.resize(3);
    //Set the length, width and height of obstacles
    primitive.dimensions[0] = 0.2;
    primitive.dimensions[1] = 0.1;
    primitive.dimensions[2] = 0.02;
    obj.primitives.push_back(primitive);
    geometry_msgs::Pose pose;
    //Set the position information of the obstacle [x,y,z]
    pose.position.x = 0;
    pose.position.y = 0.33;
    pose.position.z = 0.05;
    tf::Quaternion quaternion;
    //The unit of R,P,Y is angle
    double Roll = 0.0;
    double Pitch = 0.0;
    double Yaw = 0.0;
    quaternion.setRPY(Roll * M_PI / 180, Pitch * M_PI / 180, Yaw * M_PI / 180);
    pose.orientation.x = quaternion.x();
    pose.orientation.y = quaternion.y();
    pose.orientation.z = quaternion.z();
    pose.orientation.w = quaternion.w();
    //Set the pose information of obstacles
    obj.primitive_poses.push_back(pose);
    objects.push_back(obj);

Set the color of obstacles

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    /////////////////////////Set the color of obstacles///////////////////////
    //Create a color container for detected objects
    std::vector<moveit_msgs::ObjectColor> colors;
    moveit_msgs::ObjectColor color;
    //Add the id that needs to set the color
    color.id = "obj";
    //Set RGBA value, range [0~1]
    color.color.r = 1.0;
    color.color.g = 0;
    color.color.b = 0;
    color.color.a = 0.5;
    colors.push_back(color);
    //Add set information to the scene
    scene.applyCollisionObjects(objects, colors);

Set random move

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MoveIt cartesian path
MoveIt scene design

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