![]() Killed in the shooting were Mario Taborga, 21, of Anaheim and Tung Xuan “Tony” Ngo, 18, of Fountain Valley.Įvery tip will be checked out, no matter how unlikely, Handfield said, including rumors that the Robotek shooting may be linked to an extortion racket in the area run by street gangs or other criminal enterprises. The other victim was treated Monday night at a hospital and released. Han Vo, 17, of Fountain Valley, remained in fair condition at UCI Medical Center on Wednesday. One victim, Edward Kim, 18, of Garden Grove was upgraded to good condition and may be released today. Police believe Kim was the gunman’s target because he was shot five times.ĭetectives also are interviewing the other three people wounded in the shooting and their families to determine if one of them may have been the intended target or know what may have prompted the attack. Kim, 48, remains in critical condition at UCI Medical Center. To find other possible disgruntled customers or employees, detectives are searching through Robotek’s invoice and receipt databases. The immediate focus is on anyone who had a conflict.” “That person could have had a legitimate complaint. When a new object is shown, determine which category the new object most likely fits.“Our hope is to find out who the call was from,” Handfield said. Object Sorter: Automatically learn categories of objects from examples shown to a camera. Based on user input given from a keypad, draw specific shapes at specified size and speed.ģ. SCARA Writer: Attach a dry-erase marker to the end-effector of a 3-DoF SCARA manipulator. Find the location of an object in view, and continuously move the stepper motor to keep the object in view.Ģ. Visual Tracker: Connect a camera to the shaft of a stepper motor. Receiving input to a microcontroller from a matrix keypadġ. ![]() ![]() Controling stepper motors with a microcontroller AI for Machine Vision: Object identification by freatures AI for Machine Vision: Feature reduction by Principle Components Analysis Machine learning: supervised learning: Artificial Neural Networks Machine learning: supervised learning: Support vector machine Machine learning: unsupervised learning: K-means clustering Problem-solving and searching: A* search Problem-solving and searching: Depth-first and breadth-first searches System modeling from the time and frequency responses Jacobian matrix for end-effector velocity control Inverse kinematics of 6-DoF manipulators (position and orientation) 6 degree-of freedom manipulators using the spherical wrist This course assumes that the student already has already completed Robotics 1. Robotics 2 is a college-level second course in robotics, appropriate for engineering students at the junior or senior college level. This information will then be sent to the PSoC microcontroller, which will position the electromagnet end-effector at the correct location, pick up the object, then move to a new location, and release the object. In order to do this, the device will use a webcam and your own code written in Python with OpenCV to automatically find the location of a ferromagnetic object placed within the robot's workspace. feedback position controlīuild and program a 3-degree-of-freedom SCARA or Articulated type robotic manipulator to perform a pick-and-place operation. Center of mass approach to object localization The graphical approach to inverse kinematics Forward kinematics (including Denavit-Hartenberg) The student should also have some knowledge of basic circuits such as Ohm's law, and should have some experience in programming in any language. This course assumes that the student already has alredy had first courses in trigonometry and linear (matrix) algebra, and has some knowledge of ordinary differential equations. Robotics I is a college-level first course in robotics, appropriate for engineering students at the junior or senior college level.
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