University of California, Berkeley [Grab and move smoothly]
Customer name:UC Berkeley
Application type:Robot control and analysis
Project time:May 2020
Application product:Qinglong 2
Application type:Deep learning, neural network
Project Overview:Researchers at the University of California, Berkeley have developed new artificial intelligence software that enables robots to quickly and skillfully grasp and move objects smoothly, allowing them to help people in warehouse environments in the near future. The calculation time of the motion planner is greatly shortened by integrating the deep learning neural network. Neural networks allow robots to learn from examples. Later, robots can usually be generalized to similar objects and movements.
Project results: The results were published in the "Science Robot" magazine. By combining the neural network with the exercise planner, the team reduced the average calculation time from 29 seconds to 80 milliseconds, or less than a tenth of a second.

Donghu Robot Laboratory, 2nd Floor, Baogu Innovation and Entrepreneurship Center,Wuhan City,Hubei Province,China

Technical Support

ROS Training

About Jingtian

About Us
Join Us
Contact Us

Cooperation and consultation

Business cooperation: 18062020215

Pre sales technical support:

Tel 13807184032

Website record number:鄂ICP备17004685号-1 | Technical Support | Contact Us | Terms of Service and Privacy | Map