{"slug": "chinese-robotics-vendors-bypass-simulations-with-real-world-reinforcement", "title": "Chinese Robotics Vendors Bypass Simulations with Real-World Reinforcement Learning", "summary": "Chinese robotics company Astribot released a video demonstrating its new 'SmoothRL' technology, a reinforcement learning method that enables robots to learn from their actions in real-world environments, bypassing simulations. The company reported success rates improving from initial levels of 39%, 8%, and 30% for dynamic tasks such as throwing objects and fine manipulation, signaling a leap in practical robot learning that could accelerate integration into logistics, manufacturing, and household tasks.", "body_md": "Chinese Robotics Vendors Bypass Simulations with Real-World Reinforcement Learning\n\nChinese robotics company Astribot released a video demonstrating its new 'SmoothRL' technology, a reinforcement learning method enabling robots to learn precisely from their actions while continuously operating in real-world environments.\n\nAsiaAI Publisher\n·\nSeptember 7, 2026 ·\n2 min read · Source: ロボスタ Robot Start · Issue #89\n\nRobotics & Automation\n\nEast Asian Technology Intelligence\n\nJapan & China tech news — translated, contextualized, and delivered for Western readers.\n\nFree. Unsubscribe anytime.\n\nThis story ran in Issue #89, alongside three other stories.\n\n📊 Featured Chart\n\nSuccess rates with SmoothRL, versus initial performance (39%, 8%, 30%)\n\nChinese robotics company Astribot released a video demonstrating its new ‘SmoothRL’ technology, a reinforcement learning method enabling robots to learn precisely from their actions while continuously operating in real-world environments. Unlike traditional methods relying on simulations or static trials, SmoothRL directly applies reinforcement learning in live deployment, significantly improving task success rates for dynamic actions like throwing objects and fine manipulation.\n\nThis development from a Chinese firm challenges the perception that real-world, dynamic robot learning is solely the domain of Western or Japanese research. It signals a leap in practical application, potentially accelerating robot integration into logistics, manufacturing, and even household tasks, bypassing the limitations of simulation-to-real gaps.", "url": "https://wpnews.pro/news/chinese-robotics-vendors-bypass-simulations-with-real-world-reinforcement", "canonical_source": "https://asiaai.fyi/china-robotics-reinforcement-learning-smoothrl/", "published_at": "2026-09-07 09:00:00+00:00", "updated_at": "2026-09-07 13:56:26.366739+00:00", "lang": "en", "topics": ["robotics", "machine-learning"], "entities": ["Astribot", "SmoothRL"], "alternates": {"html": "https://wpnews.pro/news/chinese-robotics-vendors-bypass-simulations-with-real-world-reinforcement", "markdown": "https://wpnews.pro/news/chinese-robotics-vendors-bypass-simulations-with-real-world-reinforcement.md", "text": "https://wpnews.pro/news/chinese-robotics-vendors-bypass-simulations-with-real-world-reinforcement.txt", "jsonld": "https://wpnews.pro/news/chinese-robotics-vendors-bypass-simulations-with-real-world-reinforcement.jsonld"}}