Live Displacement Estimation for Rough Terrain Mobile Robot: BART LAB Rescue Robot

Bibhu Sharma, Branesh M. Pillai, J. Suthakorn
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引用次数: 4

Abstract

This paper illustrates a sensorless based live displacement estimation (LDE) method for rescue robot manuevering in an unknown environment. Live displacement estimation is crucial at the instance when a heavy load is encountered as a disturbance on its path, which requires the pushing motion to alleviate the problem. This paper focuses on a pushing task, where a rescue robot pushes an object so that it can follow a path without sliding it away. Pushing is also mechanically unstable, and thus various control problems arise. Consequently, the successful completion of a pushing manipulation task requires planning. Therefore, for successful pushing operation of an object in an unknown environment it requires the precise estimation of the live displacement. LDE estimates the position and the estimated torque using the varying inertia observer (VIO), which is a variant of Disturbance Observer (DOB). The validity of the LDE was confirmed by a teleoperated rescue robot in various terrains.
粗糙地形移动机器人的实时位移估计:BART LAB救援机器人
提出了一种基于无传感器的实时位移估计方法,用于救援机器人在未知环境下的机动。当重载在其路径上遇到扰动时,动态位移估计是至关重要的,这需要推力运动来缓解这一问题。本文关注的是一个推动任务,在这个任务中,救援机器人推动一个物体,使它能够沿着一条路径前进,而不会滑动它。推力在机械上也是不稳定的,因此产生了各种控制问题。因此,成功完成推操作任务需要进行规划。因此,为了在未知环境中成功地推动物体,需要精确估计活动位移。LDE使用变惯性观测器(VIO)来估计位置和估计扭矩,该观测器是扰动观测器(DOB)的一种变体。LDE的有效性被一个远程操作的救援机器人在各种地形中证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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