Enforcing balance of multi-limbed robots in multiple non-coplanar unilateral contact settings is challenging when a subset of such contacts are also induced in motion tasks. The first contribution of this paper is in enhancing the computational performance of state-of-the-art geometric center-of-mass inclusion-based balance method to be integrated online as part of a task-space whole-body control framework. As a consequence, our second contribution lies in integrating such a balance region with relevant contact force distribution without pre-computing a target center-of-mass. This last feature is essential to leave the latter with freedom to better comply with other existing tasks that are not captured in classical twolevel approaches. We assess the performance of our proposed method through experiments using the HRP-4 humanoid robot.
翻译:在多种非海岸单方接触环境中,如果这种接触中的一部分也是在行动任务中引起,则很难实现多limbed机器人在多重非海岸单方接触环境中的平衡。本文件的第一项贡献是,作为任务-空间全体控制框架的一部分,加强在网上整合最先进的基于物质包容性中心地理测量平衡方法的计算性能。因此,我们的第二项贡献在于将这种平衡区域与相关的接触力量分布结合起来,而不必预先计算目标的中枢。这一最后一项功能对于让后者有更好地履行传统两种方法没有捕捉到的其他现有任务的自由至关重要。我们通过使用HRP-4人类机器人来评估我们拟议方法的绩效。