At capacity 1, every point gets its own cell, and the tree subdivides as deeply as possible. At capacity 10, many points coexist in the same node, and the tree stays shallow.
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For each model reasoning was enabled, and the reasoning effort is set to high. I included GPT 5.2 because it could be argued that it can reason better than mini. However, I couldn't test GPT 5.2 as much as the other models because it was too costly. Gemini 3 Pro was costly as well, but it didn't spend as much time as GPT 5.2 during reasoning which made it more affordable in my experience.
2025年，具身智能首次被写入《政府工作报告》。在此背景下，兆威机电也在加速抢占人形机器人核心硬件赛道。