ASU Robot learns to shoot hoops
ASU Interactive Robotics Lab: The video shows a bi-manual robot that learns to throw a ball into the hoop using reinforcement learning. A novel reinforcement learning algorithm "Sparse Latent Space Policy Search" allows the robot to learn the task within only about 2 hours.
The robot repeatedly throws the ball and receives a reward based on the distance of the ball to the center of the hoop. Algorithmic details about the method can be found here:
Featured Product
MVTec MERLIC 5.8
With MERLIC 5.8, MVTec expands its easy-to-use machine vision software. The latest version improves process reliability beyond pure image processing, offering enhanced error handling and optimized configuration. This enables faster setup and stable deployment across diverse production environments. Explore MERLIC 5.8 now
