[1]王晓宇,闫继宏,徐莉红.基于自控测距法的机器人位姿估计[J].智能系统学报,2009,4(2):169-174.
WANG Xiao-yu,YAN Ji-hong,XU Li-hong.Improving estimations of a robot’s position and attitudewith accelerometer enhanced odometry[J].CAAI Transactions on Intelligent Systems,2009,4(2):169-174.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
4
期数:
2009年第2期
页码:
169-174
栏目:
学术论文—智能系统
出版日期:
2009-04-25
- Title:
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Improving estimations of a robot’s position and attitudewith accelerometer enhanced odometry
- 文章编号:
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1673-4785(2009)02-0169-06
- 作者:
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王晓宇1,闫继宏2,徐莉红3
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1.航天东方红卫星有限公司,北京100094;
2.哈尔滨工业大学机器人研究所,黑龙江哈尔滨150080;
3.304厂科研2所,山西 长治 046012
- Author(s):
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WANG Xiao-yu1,YAN Ji-hong2,XU Li-hong3
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1. DFH Satellite Company Ltd., Beijing 100094, China;
2. Robotics Institute, Harbin Institute of Technology, Harbin 150080, China;
3. Number 2 Scientific Research Institute, Number 304 Factory, Changzhi 046012, China
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- 关键词:
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位姿估计; 自控测距法; Gyrodometry法
- Keywords:
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position and attitude estimation; accodometry method; Gyrodometry method
- 分类号:
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TP242
- 文献标志码:
-
A
- 摘要:
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针对两轮自平衡机器人运行过程中遇到打滑、越障、碰撞等异常事件,测程法进行位姿估计失效的情况,提出一种自控测距法.结合改进的Gyrodometry方法,通过融合码盘、陀螺仪与加速度计数据对机器人的位姿进行估计,实现了机器人的准确定位,解决了非系统定位误差对机器人位姿估计的影响,降低了陀螺仪、加速度计固有漂移的不利影响,提高了两轮自平衡机器人的定位精度.实验结果显示与测程法误差相比自控测距法位置误差降为1/3,方向误差降为1/6,验证了自控测距法的有效性
- Abstract:
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Unpredictable events can occur in the navigational processes of twowheeled selfbalancing robots, such as wheelslippage, interaction with obstacles, and bumps. These invalidate position and attitude estimates. Therefore, an improved method was developed for accurate positioning of robots. The accodometry method adds accelerometer data to the improved Gyrodometry method, fusing encoder data with inertial sensor data. This method eliminates the effect of nonsystematic errors on robot position and attitude estimation and reduces illeffects due to inherent drift of the gyro and accelerometer. As a result, positional accuracy is greatly improved. Experimental results showed that positional errors decrease by onethird and orientation errors decline by onesixth, verifying the effectiveness of the accodometry method.
更新日期/Last Update:
2009-05-04