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Google正测试乒乓球机器人i-Sim2Real 已能连续对打340次_我的网站

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A |     Shane Nigam’s Haal has spent the past few weeks in the eye of a regulatory storm, but the clouds have finally lifted. The film, directed by debutant Veeraa, is now preparing for its theatrical arrival during the Christmas season. While the producers have not yet announced a specific release date, the confirmation itself has sparked new curiosity around the project. Viewers who have followed the film’s legal journey will likely see its release as a small but meaningful victory for creative expression.A Film Freed from UncertaintyHaal became a flashpoint after the Central Board of Film Certification insisted on the removal of six portions. The list included a scene featuring the consumption of beef biryani, which quickly drew public attention and triggered debates around censorship. Unwilling to alter the film beyond what they felt was necessary, the makers approached the High Court. Their petition set the stage for a case that placed artistic freedom and regulatory authority in direct conversation.                                                                 View this post on Instagram          A post shared by Shane Nigam (@shanenigam786)                    The CBFC argued that screening permission would only be granted if all six contested portions were removed. The Single Bench, however, arrived at a very different conclusion. Four of the six cuts were annulled while two were retained. Both the CBFC and the Catholic Congress challenged this decision, but the Division Bench dismissed the appeals. The judges also watched the film themselves before delivering the final verdict which further reinforced the ruling.With the court fully satisfied, Haal is now free to enter the release pipeline without further uncertainty. For a film that has made headlines for everything except its story so far, this ruling shifts the conversation back to the work itself.A Romantic Drama Back in the SpotlightHaal is scripted by Nishad Koya and features Shane Nigam in a romantic drama setting. Sakshi Vaidya plays the female lead and her pairing with Nigam promises to bring a new energy to the genre. The supporting cast is packed with familiar Malayalam cinema names that include Johny Antony, Madhupal, Sangeetha Madhavan Nair, Joy Mathew, Nishant Sagar, Niyas Becker, Riyaz Narmakala, Suresh Krishna, Raveendran, Sohan Seenulal, Manoj KU, Unniraja and Sreedhanya.                                                                 View this post on Instagram          A post shared by Shane Nigam (@shanenigam786)                    The technical lineup also signals that Haal aims for a polished big screen experience. Nandagopan V handles the music which is expected to play a central role in shaping the emotional tone of the film. Ravi Chandran is in charge of cinematography and is likely to bring a warm visual texture to the narrative. Editing is by Akash Joseph Varghese, whose recent work has shown a skill for keeping romantic dramas fluid and intimate. The film is produced by Juby Thomas under JVJ Productions.With its legal burdens behind it, Haal can finally shift attention to its craft and its performers. Shane Nigam, who has built a reputation for intense character driven roles, may find this film becoming a key release in a year that has tested many actors in the Malayalam industry. For debutant Veeraa the court verdict not only clears the film for release but also ensures that his vision arrives largely intact which is no small achievement for a first time filmmaker.As anticipation builds, Haal is poised to step into theatres as one of the more talked about Christmas releases. The long wait may just turn out to be part of its charm.Also Read: Allu Arjun or Pawan Kalyan? Logesh Kanagaraj Keeps Fans Guessing。    “Sim2Real”是描述人工智能创造过程的一种方式,其中机器学习模型被教导在虚拟环境或模拟中做什么,然后在现实世界中应用这些知识。当需要多年的试验和错误才能得出一个有效的模型时,这是很有必要的--在模拟中进行,可以在几分钟或几小时内完成多年的实时训练。但是,在模拟中做一些事情并不总是可能的;例如,如果一个机器人需要与人互动呢?这不是那么容易模拟的,所以你需要真实世界的数据来开始。

B | 你最终会遇到一个鸡和蛋的问题:你没有人类的数据,因为你需要它来制造人类将与之互动的机器人,并首先产生这些数据。

C | Google的研究人员通过简单的开始和制造一个反馈回路来解决这个难题。[i-Sim2Real]使用一个简单的人类行为模型作为近似的起点,在模拟训练和在现实世界中部署之间交替进行。在每次迭代中,人类行为模型和政策都会得到完善。从人类行为的近似值开始是可以的,因为机器人也只是刚刚开始学习。

D | 每场比赛都会收集到更多真实的人类数据,从而提高准确性,让人工智能学习更多。这种方法足够成功,该团队的乒乓球机器人已能够连续对打340次。它还能够将球送回不同的区域,当然不是准确的数学精度,但是好到可以开始执行策略。

E | 该团队还尝试了一种不同的方法,以实现更多的目标行为,比如从不同的位置将球返回到一个非常具体的地方。同样,这并不是要创造终极乒乓球机(尽管这很可能是一个结果),而是要找到有效训练人类互动的方法,而不是让人们重复成千上万次的相同动作。

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Published on:19:56:54


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