机器人角色运动学的优化设计

Guirec Maloisel, Christian Schumacher, Espen Knoop, R. Grandia, Moritz Bächer
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摘要

机器人的运动学运动是由它的机械关节和执行器来定义的,它们限制了它的刚性部件的相对运动。设计一个尽可能接近给定目标运动,具有固定数量的驱动自由度的机器人是具有挑战性的,特别是对于形成运动回路的机器人。在本文中,我们提出了一种同时解决具有可配置关节参数化设计的机器人角色的最优设计和控制参数的技术。该技术的技术核心是一种有效的求解策略,该策略使用动态规划来求解最优状态,控制和设计参数,以及一种消除冗余约束的策略,这些冗余约束通常存在于具有运动回路的一般机器人组件中。我们通过编辑现有机器人角色的设计或优化新角色的设计来执行所需的动作来证明我们方法的有效性。
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Optimal Design of Robotic Character Kinematics
The kinematic motion of a robotic character is defined by its mechanical joints and actuators that restrict the relative motion of its rigid components. Designing robots that perform a given target motion as closely as possible with a fixed number of actuated degrees of freedom is challenging, especially for robots that form kinematic loops. In this paper, we propose a technique that simultaneously solves for optimal design and control parameters for a robotic character whose design is parameterized with configurable joints. At the technical core of our technique is an efficient solution strategy that uses dynamic programming to solve for optimal state, control, and design parameters, together with a strategy to remove redundant constraints that commonly exist in general robot assemblies with kinematic loops. We demonstrate the efficacy of our approach by either editing the design of an existing robotic character, or by optimizing the design of a new character to perform a desired motion.
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