IT Home reported on November 9 that robots can not only showcase their talents but also debate like humans!
According to CCTV, the final of the first China (International) Robot Debate Competition was held in Beijing's Yizhuang, where participating robot debaters engaged in independent debates, showcasing the latest achievements in cognitive decision-making and large model applications.
After intense competition, the Noetix Robotics-Hobbs 3 team won the championship, while the teams from Hubei University and Noetix Robotics-Song Meimei secured the second and third places, respectively.
The event aims to demonstrate technological progress in cognitive decision-making and large model applications, with 14 teams from schools and enterprises in Beijing, Shanghai, Guangzhou, Tianjin, and other areas competing.
In contrast to the human-robot interaction and “human vs. robot” formats of the preliminary and semi-finals, the finals feature an upgraded difficulty with a “robot vs. robot” approach. Each team's robot debaters engage in independent discussions, enhancing the spectacle and allowing the audience to witness a more pure contest of intelligence.
IT Home reminds that the event judges do not use debate wins and losses as measurements, but score based on five dimensions: the robots' logical reasoning, language expressiveness, multimodal interaction, skills demonstration, and adaptability.
CCTV explains that the robotics technical system is highly complex, with the “brain” (cognitive decision-making), “cerebellum” (motion control), and “limbs” (hardware) forming the core of its technical system. This debate competition serves as a comprehensive test of large model training and hardware debugging for robots, filling a domestic void in “intelligent reasoning” types of robot competitions, promoting in-depth exploration of artificial intelligence technologies in natural language processing, logical reasoning, and emotional interaction, while building a platform for the exchange of robotics technology and exploring rich possibilities for human-robot collaboration.
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