"Success Rate Improved from 53.5% to 100%"
"Significant Milestone for Building Next-Generation AI Systems"
A Chinese research team has developed a robotic hand capable of grasping objects in a manner similar to humans.
On June 11, China's state-run Global Times reported that a research team comprising Peking University and Beijing Institute for General Artificial Intelligence (BIGAI) had unveiled a robotic hand system called "F-TAC Hand."
According to the report, the team published a paper detailing their research findings on June 9 in Nature Machine Intelligence, a sister journal of the international academic journal Nature.
When humans grasp objects with their hands, they detect changes in tactile sensation and adjust their movements accordingly. Integrating these two functions has been a core challenge in robotics.
Li Yuyang, a PhD student at BIGAI and co?first author of the paper, told Global Times that the team had developed an algorithm capable of performing various grasping actions similar to those of humans. He added, "This probability model?based algorithm enables grasping movements that are highly similar to human actions."
Zhu Yixin, assistant professor at the Institute for Artificial Intelligence at Peking University, emphasized, "This research holds significant importance for building next-generation artificial intelligence systems," and added, "By integrating the research findings into thousands of industries, we will accelerate the development of AI robots in China."
According to the research team, experimental results showed that the F-TAC Hand could detect obstacles and switch to alternative solutions in less than 0.1 seconds during operation. In 600 object-grasping tests, the success rate improved from 53.5% to 100% compared to conventional robotic hands.
The development of a robotic hand similar to that of humans is considered a core element of embodied intelligence?AI with physical form that interacts with real-world environments?which is one of the key strategies in the Chinese government's plan to foster future industries.
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