Yunshenchen and Shengteng CANN work together to open a ROS four-legged robot dog development training camp

On July 31, 2023, at the Robot Operating System ROS Summer School held by the School of Future Science and Engineering of Soochow University, Yunshen Technology and Shengteng CANN jointly held a training camp called "Four-legged Robot Dog Development Training Camp" Activity. This training camp is based on the dexterous four-legged robot dog Jueying Lite3, with senior lecturers personally teaching practical experience such as control algorithms, reinforcement learning and real machine deployment

ROS is a global robotics and artificial intelligence research and education platform. It is widely developed and used by top international and domestic universities and almost all technology companies involved in the field of robotics. The China Robot Operating System (ROS) Summer School, which has been held since 2015, has been praised by the Chinese robotics industry and academia, as well as the ROS Open Source Foundation, as the largest ROS offline event with the largest number of participants, except for ROSCon

In recent years, leg-foot robots and artificial intelligence technology have ushered in rapid development. Deep learning, reinforcement learning and the combination of robots and artificial intelligence have become the focus of research and development in universities and scientific research units around the world. Yunshenzhen and Shengteng CANN launched the Lit3 quadruped robot dog training course at the ROS Summer School to provide developers with more development options and enrich development cases

From July 29th to August 5th, we will hold three courses in a cycle, each lasting 2 days. The course content covers the basics of robot dog control and application development algorithms, introduction to traditional control algorithms, simulation and real machine deployment, reinforcement learning robot dog motion control, and full-scenario solutions for quadruped robot dogs, etc.

Jueying Lite3 focuses on education and scientific research, providing users with in-depth development support, including joint torque and position. Users can use intelligent algorithms such as deep learning and reinforcement learning to conduct more diversified sports training and development, and can further develop advanced perception capabilities such as autonomous navigation, automatic obstacle stopping and avoidance, visual positioning and environmental reconstruction

Please follow the official WeChat accounts of Yunshen Technology and Shengteng CANN as well as the official accounts of bilibili to get more information and watch course replays

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