论文标题

可重构机器人基础的设计和运动计划

Design and Motion Planning for a Reconfigurable Robotic Base

论文作者

Pankert, Johannes, Valsecchi, Giorgio, Baret, Davide, Zehnder, Jon, Pietrasik, Lukasz L., Bjelonic, Marko, Hutter, Marco

论文摘要

一个用于移动操作的机器人平台需要满足许多现实世界应用的两个矛盾要求:需要紧凑的基础才能在混乱的室内环境中导航,而支撑需要足够大以防止翻滚或小费,尤其是在快速操纵操作过程中,或与环境有效互动。本文提出了一种新型的机器人设计,该设计通过多功能足迹来满足这两种要求。当操纵重物时,它可以将其足迹重新配置为狭窄的配置。此外,其三角形配置允许通过防止支撑开关在不平坦的地面上进行高精度任务。提出了一种模型预测控制策略,该策略统一了计划和控制,以同时导航,重新配置和操纵。它将任务空间目标转换为新机器人的全身运动计划。提出的设计已通过硬件原型进行了广泛的测试。足迹重新配置几乎可以完全消除操纵引起的振动。控制策略在实验室实验和现实世界的施工任务中被证明有效。

A robotic platform for mobile manipulation needs to satisfy two contradicting requirements for many real-world applications: A compact base is required to navigate through cluttered indoor environments, while the support needs to be large enough to prevent tumbling or tip over, especially during fast manipulation operations with heavy payloads or forceful interaction with the environment. This paper proposes a novel robot design that fulfills both requirements through a versatile footprint. It can reconfigure its footprint to a narrow configuration when navigating through tight spaces and to a wide stance when manipulating heavy objects. Furthermore, its triangular configuration allows for high-precision tasks on uneven ground by preventing support switches. A model predictive control strategy is presented that unifies planning and control for simultaneous navigation, reconfiguration, and manipulation. It converts task-space goals into whole-body motion plans for the new robot. The proposed design has been tested extensively with a hardware prototype. The footprint reconfiguration allows to almost completely remove manipulation-induced vibrations. The control strategy proves effective in both lab experiment and during a real-world construction task.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源