{"id":225,"date":"2024-01-08T21:45:32","date_gmt":"2024-01-08T13:45:32","guid":{"rendered":"https:\/\/wangqianming.top\/?p=225"},"modified":"2024-01-08T21:45:32","modified_gmt":"2024-01-08T13:45:32","slug":"%e6%9c%ba%e5%99%a8%e4%ba%ba%e4%bb%bf%e7%9c%9f%e7%8e%af%e5%a2%83-rlbench-pyrep-coppeliasim","status":"publish","type":"post","link":"https:\/\/wangqianming.top\/index.php\/2024\/01\/08\/%e6%9c%ba%e5%99%a8%e4%ba%ba%e4%bb%bf%e7%9c%9f%e7%8e%af%e5%a2%83-rlbench-pyrep-coppeliasim\/","title":{"rendered":"\u673a\u5668\u4eba\u4eff\u771f\u73af\u5883 RLBench PyRep  CoppeliaSim"},"content":{"rendered":"<h1>RLBench PyRep  CoppeliaSim\u7684\u5173\u7cfb<\/h1>\n<p><strong>RLBench<\/strong>, <strong>PyRep<\/strong>, \u548c <strong>CoppeliaSim<\/strong> \u662f\u673a\u5668\u4eba\u5b66\u548c\u5f3a\u5316\u5b66\u4e60\u9886\u57df\u7684\u5de5\u5177\u548c\u5e73\u53f0\u3002\u4e0b\u9762\u5206\u522b\u4ecb\u7ecd\u5b83\u4eec\u4ee5\u53ca\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\uff1a<\/p>\n<ol>\n<li>\n<p><strong>CoppeliaSim\uff08\u4e4b\u524d\u79f0\u4e3aV-REP\uff09\uff1a<\/strong><\/p>\n<ul>\n<li>CoppeliaSim \u662f\u4e00\u4e2a\u673a\u5668\u4eba\u6a21\u62df\u5668\uff0c\u5e7f\u6cdb\u7528\u4e8e\u673a\u5668\u4eba\u5b66\u7814\u7a76\u548c\u6559\u80b2\u3002<\/li>\n<li>\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a3D\u73af\u5883\uff0c\u7528\u4e8e\u6a21\u62df\u673a\u5668\u4eba\u7684\u7269\u7406\u548c\u903b\u8f91\u884c\u4e3a\u3002<\/li>\n<li>\u901a\u8fc7\u8fd9\u4e2a\u5e73\u53f0\uff0c\u7528\u6237\u53ef\u4ee5\u8bbe\u8ba1\u673a\u5668\u4eba\u6a21\u578b\uff0c\u8bbe\u7f6e\u4f20\u611f\u5668\uff0c\u7f16\u5199\u63a7\u5236\u7b97\u6cd5\uff0c\u5e76\u5728\u4e00\u4e2a\u63a5\u8fd1\u73b0\u5b9e\u7684\u73af\u5883\u4e2d\u6d4b\u8bd5\u5b83\u4eec\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>PyRep\uff1a<\/strong><\/p>\n<ul>\n<li>PyRep \u662f\u4e00\u4e2a\u7528 Python \u7f16\u5199\u7684\u5de5\u5177\uff0c\u5b83\u4f5c\u4e3a CoppeliaSim \u7684\u4e00\u4e2a\u63a5\u53e3\u6216\u5305\u88c5\u5668(wrapper)\u3002<\/li>\n<li>\u5b83\u5141\u8bb8\u5f00\u53d1\u8005\u66f4\u5bb9\u6613\u5730\u5728 Python \u73af\u5883\u4e2d\u4f7f\u7528 CoppeliaSim\uff0c\u4f7f\u5f97\u7f16\u5199\u3001\u6d4b\u8bd5\u548c\u4f18\u5316\u673a\u5668\u4eba\u63a7\u5236\u7b97\u6cd5\u53d8\u5f97\u66f4\u52a0\u7b80\u4fbf\u3002<\/li>\n<li>PyRep \u63d0\u4f9b\u4e86\u5bf9 CoppeliaSim \u529f\u80fd\u7684\u9ad8\u7ea7\u8bbf\u95ee\uff0c\u8ba9\u7528\u6237\u80fd\u591f\u8fdb\u884c\u66f4\u590d\u6742\u7684\u4efb\u52a1\uff0c\u5982\u673a\u5668\u4eba\u8def\u5f84\u89c4\u5212\u548c\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>RLBench\uff1a<\/strong><\/p>\n<ul>\n<li>RLBench \u662f\u4e00\u4e2a\u57fa\u4e8e PyRep \u548c CoppeliaSim \u7684\u673a\u5668\u4eba\u5b66\u4e60\u73af\u5883\uff0c\u4e13\u95e8\u7528\u4e8e\u5f3a\u5316\u5b66\u4e60\u548c\u673a\u5668\u4eba\u5b66\u7814\u7a76\u3002<\/li>\n<li>\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u591a\u6837\u5316\u7684\u4efb\u52a1\u5e93\uff0c\u7528\u4e8e\u8bad\u7ec3\u548c\u6d4b\u8bd5\u673a\u5668\u4eba\u5b66\u4e60\u7b97\u6cd5\u3002<\/li>\n<li>RLBench \u5229\u7528 PyRep \u548c CoppeliaSim \u7684\u529f\u80fd\u6765\u63d0\u4f9b\u4e00\u4e2a\u7075\u6d3b\u4e14\u5f3a\u5927\u7684\u73af\u5883\uff0c\u7528\u4e8e\u5f00\u53d1\u548c\u8bc4\u4f30\u673a\u5668\u4eba\u5b66\u4e60\u6a21\u578b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p><strong>\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\uff1a<\/strong><\/p>\n<ul>\n<li>CoppeliaSim \u662f\u57fa\u7840\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u673a\u5668\u4eba\u4eff\u771f\u73af\u5883\u3002<\/li>\n<li>PyRep \u662f\u5efa\u7acb\u5728 CoppeliaSim \u4e4b\u4e0a\u7684\uff0c\u4f7f\u5f97\u5728 Python \u4e2d\u66f4\u52a0\u5bb9\u6613\u5730\u4f7f\u7528 CoppeliaSim \u7684\u529f\u80fd\u3002<\/li>\n<li>RLBench \u5219\u662f\u66f4\u8fdb\u4e00\u6b65\uff0c\u5229\u7528 PyRep \u548c CoppeliaSim \u7684\u80fd\u529b\uff0c\u4e3a\u673a\u5668\u4eba\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u7814\u7a76\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4e13\u95e8\u7684\u5e73\u53f0\u3002<\/li>\n<\/ul>\n<p>\u7b80\u5355\u6765\u8bf4\uff0cCoppeliaSim 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