Students visit the Institute of Automation, Chinese Academy of Sciences (CASIA), for the 2025 Beijing Science and Technology Week and the "Light of Automation" Public Science Day. [Photo provided to China Daily]
Hundreds of students, teachers and technology enthusiasts explored cutting-edge scientific and technological innovations, including artificial intelligence and robots, at the Institute of Automation, Chinese Academy of Sciences, on Saturday.
The event marked the opening of the 2025 Beijing Science and Technology Week and the "Light of Automation" Public Science Day at the CASIA.
Students observe the Q-series humanoid robots at the event. [Photo provided to China Daily]
Visitors had the opportunity to explore 18 new research achievements, including the Q-series humanoid robots, minimally invasive implantable brain-computer interfaces (BCIs) and neuro-regulation robots for brain connectome navigation.
Gao Jie, an assistant researcher at the CASIA, said the Q-series humanoid robots have made significant progress in real-time performance, speed, stability and balance through the use of reinforcement learning algorithms, autonomous intelligent control and feedback systems.
Students interact with the Casia Hand dexterous hand and general-purpose dexterous robot. [Photo provided to China Daily]
"They are expected to be used in disaster relief operations and unmanned factories," she said.
Students experience the MiaoSuan wargame at the event. [Photo provided to China Daily]
Visitors also engaged with projects such as mind-controlled rehabilitation systems and intelligent mind-reading.
Students, with guidance from team members, interact with a brainwave-controlled device designed by the mind-controlled rehabilitation team to awaken a virtual kitten. [Photo provided to China Daily]
"To make it more accessible for the public, we designed a simple demonstration device," said Wang Yanzi, a Master's student in brain-inspired intelligence at CASIA and a member of the mind-controlled rehabilitation team. "This research will primarily be applied in fields such as medical rehabilitation, attention monitoring, and stress detection." (China Daily)
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