Index Types of ErrorsCauses of ErrorsIdentification and Compensation of ErrorsUsing the SLAM Algorithm to Detect and Correct Errors in the 3R Robotic ArmThe articulated robot experiences difficulty in the simple tasks of reaching and grasping an object . This could be due to: Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essaya) error in object identificationb) distance calculationc) inaccurate or no calibration of extrinsic and intrinsic parameters of the camerad) uncertainty in the mechanical system of the robot. Failure in any of the above four points can cause the business to fail completely. This thesis expresses an approach to track the robotic arm and reduce the error occurred in object localization based on computer vision techniques with the aim of making the robot more precise. The algorithm uses the vision system as a sensor for the manipulator arm by performing simultaneous localization and mapping in the robot's configuration space. This approach uses two webcams creating a stereo vision system for calculating the depth/distance of the object instead of using any depth sensing device such as LiDAR, Kinect or ZED camera, which makes this system more economical. Using the created vision system, 3D reconstruction of the environment is performed to identify the object to be grasped, based on which the path of the manipulator is planned. Robotic manipulators require sensors to sense their surroundings and move accordingly. Therefore, it is necessary for the robot to use its sensors (Lidar, cameras, kinect, gyroscope, accelerometer etc.) and actuators (motors etc.) efficiently to perform the task. To do this, the robot should have prior knowledge of the destination point or next state to reach and the path to take to reach that location. It should also know how the actuators need to be changed based on the environment and how the world has changed based on the sensors. If this prediction step is even slightly inaccurate, it is not possible to identify and correct errors in its task due to which the robot is unable to complete the task correctly. Let's consider the simple task of identifying and locating the object from the area surrounding it. The robot will use its cameras to identify and locate the object. Based on the data obtained from the cameras, it will then plan the route based on the data obtained, after which it will command its actuators to move accordingly. Small errors in identification, path planning or actuator movement can lead to complete failure of the task. The following can be the cause of errors in task failure.Types of errorsGeometric errors: can be introduced due to wear or misalignment of joints, manufacturing imperfections, etc.Conformity errors: can occur due to the flexibility of the angles of the joints and deviation or deflection under gravity or external loads. Thermal errors: occur due to thermal distortion and expansion of parts and components. Also due to heat sources present internally or externally such as motors, bearings etc. Causes of errors Camera errors: The first task of the robot is to identify its object with the help of its sensors. So an error in the sensor can lead to an error in the entire system. In case of vision system, there may be distortion in the camera lens or blurring in the camera. Even the.