Workflow
人形机器人终于学会洗碗了
量子位·2025-09-04 04:41

Core Viewpoint - Figure robots are expanding their capabilities beyond folding clothes to include loading dishwashers, showcasing advancements in their Helix architecture and adaptability in handling various household tasks [1][7][11]. Group 1: Technological Advancements - Figure robots utilize the same Helix architecture for different tasks, such as package sorting and towel folding, without requiring new algorithms or special engineering, only additional data [4][20]. - The Helix architecture is a result of Figure's evolution after parting ways with OpenAI, designed as an end-to-end "vision-language-action" model that allows robots to perceive, understand, and act like humans [21][25]. - The system consists of two components that communicate through end-to-end training, enabling robust performance across various tasks using a single unified model [22][24]. Group 2: Task Complexity - Loading a dishwasher involves complex challenges, such as separating stacked dishes, adjusting angles, and coordinating dual-arm movements, which require precise operations due to the fragility and smoothness of items [16][17]. - Each loading scenario is unique, necessitating the system's ability to adapt and correct itself while maintaining stable performance [19]. - The tasks of loading dishes, sorting packages, and folding towels, while seemingly unrelated, can all be managed by the Helix architecture, demonstrating its versatility and potential for broader applications [25][26].