Robot vacuums with "climbing" capabilities also use AI to better determine which obstacles they can (and should) actually try to scale, and which they should stay away from. The Dreame X60 Max Ultra Complete and Roborock Qrevo Curv 2 Flow both have retractable legs that can hoist the vacuum's chassis a few inches up and over various thresholds. Using AI to make a game-time decision, these smart vacs know which small barriers to smoothly drive over (thick floor type changes or door saddles, sliding door tracks into another room or closet, or chair legs that lay flat across the floor) and which small barriers to steer around (like shoes.) AI-powered robot vacuums have a better concept of where they can fit in general, making them much less likely to get stuck.
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早在龙虾还叫Clawdbot的时期，一位开发者列出了自己的“龙虾驯化计划”：一是对Clawdbot进行高度个性化设置，直到调整成自己满意的样子；二是把自己所有的事务，都逐步交给Clawdbot管理。他打算把自己AI个人转型的三个层次规划，都写成Markdown文件。最终沉淀成一整套Markdown模板文件和精心筛选的skill，再用OpenCode管理这个项目。
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