Motion Skills for Simulated Humans

模拟人的动作技能

• 批准号: RGPIN-2015-04843
• 负责人: vandePanne, Michiel
• 金额: $ 3.64万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613200
• 关键词: Motion; Skills; Simulated; Humans

Depicting human movement is an essential aspect of computer graphics and animation, with applications that include training simulations, computer games, and visual effects for film. As has been the case for other phenomena in computer graphics, such as the realistic rendering of skin or the realistic animation of fluids or hair, models that are developed from first principles and from a deep understanding of a given phenomenon offer the best prospects for achieving high-quality and generalizable results. The development of principled physics-based models has radically transformed the tool-sets used in computer graphics rendering and for the animation of passive phenomena. However, achieving similar progress for physics-based models of human motion remains hugely challenging. It requires solving many of the same control problems that are seemingly solved so effortlessly by the human body during our daily movements. Our research targets the considerable gap that remains between the current state of the art, which is largely based on motion clips and "rag doll" simulations, and the considerable motor skills of humans. Our focus is on motions such as walking, climbing, movement-related tasks in indoor and outdoor environments, and object grasping and manipulation. An overarching goal of our work is to develop a powerful and expressive "vocabulary" for the design and represention of motion skills. Specific objectives include (a) languages for authoring and integrating skills; (b) developmental strategies for the progressive learning of skills; (c) solving for motion plans as an inference problem; and (d) developing task-specific models of motion, e.g., developing specific models of how people move in specific work-place or task-related scenarios. Our research helps lay the groundwork for a next generation of authoring systems for human motions, as required by training simulations, games, and film. In particular, the next generation of game consoles and visual effects for film is increasingly exposing the quality of human motion animation as a limiting factor in content production, as it falls further behind the relentless advance of rendering quality. While computer animation remains our primary target application, our work also offer insights and solutions for robotics, and, more particularly, for agile legged locomotion and dexterous robotic manipulation. Lastly, our work  offer insights and understanding for human motor control and biomechanics, given the ability to create highly capable synthetic models of many movement skills.

描绘人体运动是计算机图形和动画的一个重要方面，其应用包括训练模拟、电脑游戏和电影视觉效果。与计算机图形学中的其他现象（如皮肤的逼真渲染或流体或头发的逼真动画）一样，从基本原理和对给定现象的深刻理解中开发的模型为获得高质量和可推广的结果提供了最好的前景。基于原则的物理模型的发展从根本上改变了计算机图形渲染和被动现象动画中使用的工具集。然而，在基于物理的人体运动模型上取得类似的进展仍然是一个巨大的挑战。它需要解决许多与人体在日常运动中似乎毫不费力就能解决的控制问题。我们的研究目标是解决当前技术水平（主要基于运动剪辑和“布娃娃”模拟）与人类相当大的运动技能之间的巨大差距。我们的重点是运动，如步行，攀爬，室内和室外环境中的运动相关任务，以及物体抓取和操作。