For legged robots to perform agile, highly dynamic and contact-rich motions, whole-body trajectories computation of under-actuated complex systems subject to non-linear dynamics is required. In this work, we present hands-on applications of Horizon, a novel open-source framework for trajectory optimization tailored to robotic systems, that provides a collection of tools to simplify dynamic motion generation. Horizon was tested on a broad range of behaviours involving several robotic platforms: we introduce its building blocks and describe the complete procedure to generate three complex motions using its intuitive and straightforward API.
翻译:要使脚步机器人能够执行灵活、高度动态和接触丰富的动作,就需要对受非线性动态影响、活度不足的复杂系统进行全体轨迹计算。在这项工作中,我们介绍了地平线的亲手应用,这是一个针对机器人系统的新的轨道优化开放源码框架,它提供了一系列工具,以简化动态的动动能生成。地平线在涉及若干机器人平台的广泛行为上进行了测试:我们介绍了其构件,并描述了利用直观和直截了当的API产生三种复杂动作的完整程序。