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Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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据中证报报道，宇树科技创始人兼董事长王兴兴近日在人形机器人与具身智能标准化（HEIS）年会上表示，公司过去几年持续推动人形机器人在工厂落地，并希望未来能在自家工厂实现「机器人生产机器人」。，更多细节参见体育直播
program still runs correctly. If the guess is too small, you get