Data collector trains humanoid robots with VR in Qingdao, Shandong

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)

Data collectors, wearing VR headsets and holding motion-sensing controllers, are instructing humanoid robots like teachers guiding students at a humanoid robot data collection and training ground in Qingdao, Shandong province. The robots are learning fine motor skills such as grasping, transporting, and sorting This training ground plans to leverage a 5G-A network to achieve millisecond-level human-robot synchronization. It aims to collect high-quality, real-world data through seven major authentic scenarios, propelling robots from mere "imitation" to genuine "autonomy." (Photo by Zhang Jingang)