摘要
Robotics&Machine Learning Daily News Daily News的新闻记者兼新闻编辑-根据来自华盛顿特区的新闻报道来源G，NewsRx Reworks的专利申请，Inve Ntors Fidler，Sanja（加利福尼亚州多伦多）；Litany，Or（加利福尼亚州桑尼维尔）；Luo，Zhengyi（美国宾夕法尼亚州匹兹堡）；Peng，J2023年，Mad E于2024年5月16日在线提供。本专利申请的受让人是NVIDIA Corporation(Santa Clara,Cal Ifornia,United States)，记者从发明人提供的背景信息中获得了以下引文：“机器学习模型，例如神经网络，可以用于模拟环境中主体的运动，例如模拟环境中的行人运动S。然而，各种模型可能缺乏对运动响应的真实性，或者可能缺乏以能够响应用户输入的方式确定移动的能力，如引入的障碍或复杂的环境和情景。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Fidler, Sanja (Toronto, CA); Litany, Or (Sunnyvale, CA, US); Luo, Zhengyi (Pittsburgh, PA, US); Peng, Jason (Vancouver, CA); Rempe, Davis Winston (Redwood City, CA, US); Yuan, Ye (Santa Clara, CA, US), filed on March 31, 2023, was mad e available online on May 16, 2024. The assignee for this patent application is NVIDIA Corporation (Santa Clara, Cal ifornia, United States).Reporters obtained the following quote from the background information supplied by the inventors: “Machine learning models, such as neural networks, can be used to simulate movement of agents in environments, such as for pedestrian movement s in simulated environments. However, various models may lack realism with respe ct to movements, or may lack the ability to determine movements in a manner that can respond to user inputs, such as introduced obstacles or complex environment s and scenarios.”
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