{"provider_name":"Hatena Blog","type":"rich","version":"1.0","categories":[],"height":"190","author_url":"https://blog.hatena.ne.jp/hanecci/","provider_url":"https://hatena.blog","description":"GPGPU \u306b\u3088\u308b\u30e2\u30fc\u30b7\u30e7\u30f3\u30d7\u30e9\u30f3\u30cb\u30f3\u30b0\u306e\u5206\u91ce\u3067\u306e\u826f\u3044\u8ad6\u6587\u3092\u30d4\u30c3\u30af\u30a2\u30c3\u30d7\u3057\u3066\u307f\u307e\u3057\u305f. \"High-dimensional Planning on the GPU\" R* search on GPGPU . Joseph T. Kider, Mark Henderson, Maxim Likhachev, Alla Safonova. IEEE International Conference on Robotics and Automation (ICRA) 2010. http://cg.cis.upenn.edu/hms/research/RstarGPU/RstarGPU_ICRA.p\u2026","image_url":null,"published":"2010-12-29 20:44:55","blog_title":"OLD hanecci\u2019s blog : \u65e7 \u306f\u306d\u3063\u3061\u30d6\u30ed\u30b0","title":"AI : Motion Planning on GPGPU ","url":"https://hanecci.hatenadiary.org/entry/20101229/1293623095","blog_url":"https://hanecci.hatenadiary.org/","author_name":"hanecci","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhanecci.hatenadiary.org%2Fentry%2F20101229%2F1293623095\" title=\"AI : Motion Planning on GPGPU  - OLD hanecci\u2019s blog : \u65e7 \u306f\u306d\u3063\u3061\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>"}