Programming Entertainment Robots

EIA - 0203912霍金斯，杰西卡卡内基梅隆大学标题：CISE博士后研究员在实验计算机科学：编程娱乐机器人为了使人形机器人成为一个可行的替代小规模娱乐应用，更容易的方式编程他们是必要的。 他们必须有一个自然和娱乐风格的运动，往往需要大量的运动数据库，以确保足够的各种行为。 这个问题的一个潜在的解决方案是使用人体运动数据作为关节轨迹的来源。 人类运动数据使用的自动技术将提供令人信服的机器人性能所需的各种运动。 博士后助理将开发技术，使人类运动数据被用来控制各种各样的人形和娱乐机器人和模拟。 该项目将涉及优化技术的开发以及物理机器人的构建和控制方面的重要实验。 这项研究将联合收割机的博士后在动力学，规划和运动过滤与主要研究者的经验，在模拟，控制系统的人体运动，和处理运动捕捉数据的专业知识。

EIA - 0203912 Hodgins, Jessica Carnegie Mellon UniversityTITLE: CISE Postdoctoral Associates in Experimental Computer Science: Programming Entertainment RobotsTo make humanoid robots a viable alternative for small scale entertainment applications, easier ways of programming them are needed. They must have a natural and entertaining style of motion and often require substantial motion databases to ensure a sufficient variety of behaviors. One potential solution to this problem is to use human motion data as the source of joint trajectories. Automatic techniques for human motion data use would provide the variety of motion that is required for compelling robotic performances. The postdoctoral associate will develop techniques that will allow human motion data to be used to control a wide variety of humanoid and entertainment robots and simulations. This project will involve significant experimentation both in the development of optimization techniques and in the construction and control of physical robots. The research will combine the expertise of the postdoctoral associate in dynamics, planning and motion filtering with the principal investigator's experience in simulation, control systems for human motion, and processing motion capture data.