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Dancing Humanoid Robots: Systematic Use of OSID to Compute Dynamically Consistent Movements Following a Motion Capture Pattern

机译:跳舞人形机器人:系统地使用OSID来计算运动捕捉模式后的动态一致运动

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In October 2012, the humanoid robot HRP-2 was presented during a live demonstration performing fine-balanced dance movements with a human performer in front of more than 1,000 people. This success was made possible by the systematic use of operational-space inverse dynamics (OSID) to compute dynamically consistent movements following a motion capture pattern demonstrated by a human choreographer. The first goal of this article is to give an overview of the efficient inverse-dynamics method used to generate the dance motion. In addition to the methodological description, the main goal of this article is to present the robot dance as the first successful real-size implementation of inverse dynamics for humanoid-robot movement generation. This gives a proof-of-concept of the interest of inverse dynamics, which is more expressive than inverse kinematics (IK) but more computationally tractable than model predictive control (MPC). It is, in our opinion, the topical method of choice for humanoid whole-body movement generation. The real-size demonstration also gave us some insight of current methodological limits and the developments needed in the future.
机译:2012年10月,在现场表演中展示了人形机器人HRP-2,该表演在1,000多人面前与人类表演者进行了精细平衡的舞蹈动作。通过系统地使用操作空间逆动力学(OSID)来按照人类编舞者演示的运动捕捉模式来计算动态一致的运动,使得这一成功成为可能。本文的首要目标是概述用于产生舞蹈动作的有效逆动力学方法。除了方法上的描述外,本文的主要目标是提出机器人舞蹈,这是第一个成功的实物实现的逆向动力学实现类人机器人运动的逆动力学方法。这提供了逆动力学的概念验证,它比逆运动学(IK)更具表现力,但比模型预测控制(MPC)在计算上更易于处理。我们认为,这是人形全身运动产生的局部选择方法。真实尺寸的演示还使我们对当前的方法学局限性和未来所需的发展有了一些见解。

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