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力位混合控制算法的统一理论
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需依赖力传感器,机器人算法领域实现重大突破
Xuan Gu Bao· 2025-10-20 15:13
Group 1 - A significant breakthrough in robot algorithm has been achieved by a Chinese research team, introducing the world's first unified theory of "force-position hybrid control algorithm" [1] - The new algorithm allows robots to learn both position and force control without relying on force sensors, increasing task success rates by approximately 39.5% compared to strategies using only position control [1] - The algorithm enables robots to perform six types of operations, including position tracking and compliant force application, without sensors, significantly improving task quality [1] Group 2 - The algorithm enhances real-time interaction capabilities, allowing robots to adjust their motion states immediately when subjected to external forces, thereby improving human-robot collaboration safety [1] - The generalization ability of the algorithm allows it to operate stably across different robot platforms, breaking equipment limitations [1] - This advancement positions China at the international forefront of intelligent control in robotics, providing critical technological support for industries such as smart manufacturing and rehabilitation healthcare [1] Group 3 - Related A-share concept stocks include Leisai Intelligent and Hechuan Technology [2]
全球首个“力位混合控制算法”提出
Xin Lang Cai Jing· 2025-10-20 11:25
近日,我国科研团队在机器人算法领域取得重大突破,提出全球首个"力位混合控制算法的统一理论"。 该算法无需依赖力传感器,就能让机器人同时学习位置与力的控制,相关任务成功率较只使用位置控制 的策略提高了约39.5%。更值得关注的是,其相关论文目前已斩获国际机器人学习大会杰出论文奖,这 也是该奖项设立以来,首次由全中国籍学者团队摘得。(央视新闻) ...