Electronic component inspection and defective elimination product development
- Developed a deep learning-based smart machine solution that can inspect and automatically remove defects in electronic components A function that recognizes defective parts among micro switches supplied to the conveyor by deep learning and improves them in real time
Electric vehicle waste battery dismantling fully automated process
- Realization of high-level and high-precision disassembly of various kinds of waste batteries through deep learning-based robot control, human-robot collaboration, and robot-robot collaboration technology
Select sprouted or damaged potatoes
- Deep Sorter is an artificial intelligence solution for detecting and removing defects in the production line - Detect and remove defects through visual inspection on conveyor belts such as agricultural products, automobile parts, and plastic parts
Motor packaging using deep learning-based imitation learning and reinforcement learning
- Learning image networks and action generation networks using imitation learning and reinforcement learning - Deep learning-based motor packaging
Position and pose (vertical) estimation of robot for drill hole processing using RGB-D camera
- A test to insert a drill by estimating the position and vertical posture of the robot for drilling a drill hole using an RGB-D camera. - When the panel is tilted, the robot finds a hole and adjusts the vertical angle to perform drilling.
Dip Sticker Demonstration Video
- It is a cutting (cutting) robot that recognizes cuttings randomly placed on a moving conveyor belt through vision (camera), picks up the recognized cuttings and plants them on the seedling plate.