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In good hands: A case for improving robotic dexterity
Science ( IF 44.7 ) Pub Date : 2024-12-12 , DOI: 10.1126/science.adu2950 Aude G. Billard
Science ( IF 44.7 ) Pub Date : 2024-12-12 , DOI: 10.1126/science.adu2950 Aude G. Billard
Twenty-first-century roboticists envision robots capable of sorting objects and packaging them, of chopping vegetables and folding clothes. But although many today believe that the only factors necessary for robots to achieve dexterous manipulation are data and artificial intelligence (AI), managing all the mundane manipulations that humans perform daily requires constant adaptation to changing conditions. These operations include tasks demanding millisecond-level responses to prevent irreparable damage, such as quickly stabilizing a slipping package or halting a knife just before it cuts into a table. Although recent advances in intelligent robot control have considerably expanded—and will continue to expand—the range and complexity of tasks that robots can perform, AI, data, and control theory alone are not enough. A brain cannot manipulate items effectively without a body—and specifically hands—suited to the task.
中文翻译:
掌握良机:提高机器人灵活性的案例
21 世纪的机器人专家设想了能够对物体进行分类和包装、切菜和折叠衣服的机器人。但是,尽管今天许多人认为机器人实现灵巧操作所需的唯一因素是数据和人工智能 (AI),但管理人类每天执行的所有平凡操作需要不断适应不断变化的条件。这些操作包括需要毫秒级响应以防止无法修复的损坏的任务,例如快速稳定滑落的包裹或在刀切入桌子之前停止。尽管智能机器人控制的最新进展已经大大扩展并将继续扩大机器人可以执行的任务的范围和复杂性,但仅靠人工智能、数据和控制理论是不够的。如果没有适合这项任务的身体,特别是双手,大脑就无法有效地操纵物品。
更新日期:2024-12-12
中文翻译:
掌握良机:提高机器人灵活性的案例
21 世纪的机器人专家设想了能够对物体进行分类和包装、切菜和折叠衣服的机器人。但是,尽管今天许多人认为机器人实现灵巧操作所需的唯一因素是数据和人工智能 (AI),但管理人类每天执行的所有平凡操作需要不断适应不断变化的条件。这些操作包括需要毫秒级响应以防止无法修复的损坏的任务,例如快速稳定滑落的包裹或在刀切入桌子之前停止。尽管智能机器人控制的最新进展已经大大扩展并将继续扩大机器人可以执行的任务的范围和复杂性,但仅靠人工智能、数据和控制理论是不够的。如果没有适合这项任务的身体,特别是双手,大脑就无法有效地操纵物品。