无需统一坐标系,用无线测距与惯性测量实现非完整机器人编队相对定位
Relative Pose Estimation for Nonholonomic Robot Formation with UWB-IO Measurements (Extended version)
- 在局部坐标系中仅用UWB和惯性里程计估计相对位置与姿态
- 在有向通信下仍能实现对领航机的相对位姿估计
- 适用于无人机和地面机器人的三维/二维实测验证
本文研究基于机载超宽带(UWB)距离与惯性里程计(IO)测量的多机器人分布式编队控制问题。尽管该问题被广泛研究,但多数方法要求各机器人位姿与传感器测量均在统一参考系中表达,这对非完整机器人编队不适用,因难以对齐各机器人惯性里程计。为此,首先提出一种基于并发学习的估计算法,在局部坐标系中仅使用UWB测距和IO测量,同时估计相邻机器人间的相对位置与姿态。其次,为应对有向通信拓扑导致的信息损失,引入协作定位算法,实现对领航机的相对位姿估计。最后,基于相对位姿估计的理论结果,设计了适用于非完整机器人的分布式编队跟踪控制器。通过在空中与地面机器人上开展的三维和二维真实实验,验证了所提方法的有效性。
原文摘要 · Abstract (English)
This article studies the problem of distributed formation control for multiple robots by using onboard ultra wide band (UWB) distance and inertial odometer (IO) measurements. Although this problem has been widely studied, a fundamental limitation of most works is that they require each robot's pose and sensor measurements are expressed in a common reference frame. However, it is inapplicable for nonholonomic robot formations due to the practical difficulty of aligning IO measurements of individual robot in a common frame. To address this problem, firstly, a concurrent-learning based estimator is firstly proposed to achieve relative localization between neighboring robots in a local frame. Different from most relative localization methods in a global frame, both relative position and orientation in a local frame are estimated with only UWB ranging and IO measurements. Secondly, to deal with information loss caused by directed communication topology, a cooperative localization algorithm is introduced to estimate the relative pose to the leader robot. Thirdly, based on the theoretical results on relative pose estimation, a distributed formation tracking controller is proposed for nonholonomic robots. Both 3D and 2D real-world experiments conducted on aerial robots and grounded robots are provided to demonstrate the effectiveness of the proposed method.
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