Assemtica Robotics Uses DOBOT Magician and DOBOT M1 to Promote Career & Technical Education in India
Assemtica Robotics is an ed-tech startup founded in India, by Dr. Kranthi Kumar Elineni and Sravan Kumar Elineni, two seasoned experts on robotics and AI, aiming to deliver engineering graduates hands-on experience in application-based approach using design, 3D printing, and Dobot robotics technology.Both two founders believe that future engineering is bright with Industry 4.0 technologies such as machine learning, artificial intelligence, robotics, and 3D printing technologies.
Assemtica Robotics: the Push to Bring Industry 4.0 Education Solutions into India
Since the inauguration, Assemtica Robotics enrolled more than 25 students for their deep learning, robotics and machine vision courses. Many of the graduates are happy that the specialized courses have made complex things such as Industry 4.0 simpler & easier to understand and groomed them professionally.
Besides in-classroom training, Assemtica Robotics strived to raise awareness of the importance of Industry 4.0. They brought their technology education solutions right into Indian colleges dedicated to engineering and technology, a major talent pool of scientific and engineering minds. Starting from June 28, 2019, Assemtica Robotics hosted Advanced Robotics & AI Workshop and seminars at 14 engineering and technology colleges in India. More than 1500 students and faculty members participated and many of them got hands-on with Dobot Magician-powered complex AI & robotics systems that draws inspirations from real-world production scenes.
Students were getting hands-on with Industry 4.0 simulation scenarios while the teacher was tutoring
While India’s adoption of Industry 4.0 is in its infancy, more and more skill development and vocational training institutes, be government-supported or private, are taking shape to help drive the change. India has been seen to step up its efforts to equip its young people with future-proof skills. And Assemtica Robotics is noteworthy of that.
Computer vision and deep learning project demos made by students with the guidance of teachers
Students graduated and received the competency certificate
1. What Students Learn from DOBOT Magician-Powered Robotics Course
-Understand how industrial robots work
-How to use different end effectors on robots, including suction cup, gripper, pen holder, and laser head.
-How to integrate robotic components and sensors by building projects such as palletization, storage, and retrieval, sorting through fusion of Design, 3D printing.
-How to configure and program projects like assembly lines using computer-controlled conveyors, linear rails, turrets, and sensors.
Pick & Place using Dobot Magician
Pick & place is one of the most common industrial applications. In this video, the first robot picks up the object from the pallet and transports via conveyor. The second robot senses the object through a photosensor and picks up the object from the conveyor and places onto the storage turret. The turret then turns to the next empty slot and waits for the robot to continue its cycle until the product from the entire pallet has been stored on the turret.
2. What Students Learn from DOBOT Magician-Powered Machine Vision Course
-Understand how machine vision works by integrating robotics and computer vision.
-How to apply machine vision in real-life scenarios through Python programming specialized projects.
-Deepen understanding of machine vision by engaging and building complex projects such as object detection, object orientation detection, and color sorting.
-The first peak of industrial applications by building sophisticated projects that require high precision and high accuracies such as automatic inspection, process control, defect detection and robot guidance.
Machine Vision with Dobot Magician & OpenCV
Manufacturers often prefer machine vision systems for visual inspections that require high speed, high magnification, around-the-clock operation, and/or repeatability of measurements. In this demo, the 3 robots are connected to a single computer through a USB hub and running Computer Vision algorithms on OpenCV and Python. The Robotic work cell consisting of Sensors, Conveyors, Linear Rail, and Custom End effectors for Robots are designed using Direct Modelling software, Shapr3D, and printed on Flashforge Inventor II. The video was sped up by 2x at certain points to make it more convenient for viewers.
3. What Students Learn from DOBOT Magician-Powered Deep Learning Course
-How deep learning works and impacts real-life scenarios by engaging specialized projects that adopt tensor flow, localization, mapping, etc.
-Understand machine intelligence better by engaging and building advanced projects such as intelligent sorting through object recognition and identification, smart object palletization using multiple conveyors, smart storage, and retrieval using deep learning-based computer vision.
Deep Learning in Industrial Robots using TensorFlow, OpenCV, and Python
The video demonstrates machine intelligence through deep learning by using TensorFlow, Python programming, and vision system integrated with Dobot Magician. A webcam module is integrated with electromagnet end effector for performing intelligent sorting of nuts and bolts.