机器人/ROS系统领域优秀的教程推荐

  1. 从软硬件方面概述机器人系统架构, 分为上、下位机,概述机器人系统组成部分及其相关功能。
    @misc{xn–x4w.xn–kuw.xn–rgv.xn–92t.2023Jun,
    author = {混. 沌. 无. 形.},
    title = { {机器人系统设计开发概述}},
    journal = {微信公众平台},
    year = {2023},
    month = jun,
    urldate = {2023-06-06},
    note = {[Online; accessed 6. Jun. 2023]},
    url = {https://mp.weixin.qq.com/s?__biz=MzI3MTIyMjQwNQ==%E2%88%A3=2247484898&idx=1&sn=309cb8dd36fec899a89fabe3179a2154&chksm=eac45608ddb3df1e6666c6965e58e1d9acdb198800715abdd60322b112c0a22686b83f63b176&cur_album_id=2256911040204685314&scene=190#rd}
    }

  2. 电量估计是机器人系统中的重要组成部分之一,且野外场景作业过程中显得尤为重要。本文将电池建模法和库伦计法2种传统算法有效结合,详细阐述了结合算法的理论建模及实验测试过程,解决了库伦计法存在累计误差和电池建模法存在动态测量数据波动大等问题,该方法具有简单可靠、实用性高等优势。
    @misc{xn–x4w.xn–kuw.xn–rgv.xn–92t.2023Jun,
    author = {混. 沌. 无. 形.},
    title = { {机器人电量估计方法及实践}},
    journal = {微信公众平台},
    year = {2023},
    month = jun,
    urldate = {2023-06-06},
    note = {[Online; accessed 6. Jun. 2023]},
    url = {https://mp.weixin.qq.com/s?__biz=MzI3MTIyMjQwNQ==%E2%88%A3=2247483697&idx=1&sn=fd7dc4e758947b04bcba7cc556e1a06d&chksm=eac452dbddb3dbcd20d519b0ca75763d59a454863f1e4f1e3fa262fdbbb7e9b6400e7744009f&scene=21#wechat_redirect}
    }

  3. 从分析两轮差速驱动机器人运动规律出发,依据刚体运动学等理论基础,逐步从底层逻辑分析、构建两轮差速驱动机器人的运动模型,最后,从实际应用角度对比分析了不同构型差速驱动机器人的优缺点及适用范围。

@misc{xn–x4w.xn–kuw.xn–rgv.xn–92t.2023Jun,
author = {混. 沌. 无. 形.},
title = { {两轮差速驱动机器人运动模型及应用分析}},
journal = {微信公众平台},
year = {2023},
month = jun,
urldate = {2023-06-06},
note = {[Online; accessed 6. Jun. 2023]},
url = {https://mp.weixin.qq.com/s?__biz=MzI3MTIyMjQwNQ==%E2%88%A3=2247483715&idx=1&sn=ddfd8b1446283d6d7254a33f62e36a5a&chksm=eac452a9ddb3dbbf3f8286faa9fa77cd569f65d3a469fa6218a6fb7b037cd58bbe2c1c169ad4&scene=21#wechat_redirect}
}

  1. 四轮驱动移动机器人(SSMR)在野外非结构化场景中有着广泛应用,本文对SSMR的运动规律及特性进行了详细分析;接着将SSMR运动模型抽象简化为两轮差速驱动机器人模型,构建了SSMR的运动学模型,并给出了简易的模型参数计算实验方案;最后从实际应用角度对比分析了SSMR和car-like robot、差速驱动机器人的优缺点及其适用范围。

@misc{xn–x4w.xn–kuw.xn–rgv.xn–92t.2023Jun,
author = {混. 沌. 无. 形.},
title = { {四轮驱动xn–zg7cSSMRxn–0g7c移动机器人运动模型及应用分析}},
journal = {微信公众平台},
year = {2023},
month = jun,
urldate = {2023-06-06},
note = {[Online; accessed 6. Jun. 2023]},
url = {https://mp.weixin.qq.com/s/Fzrpn5_3TB6apqG2Ds1v5Q}
}
NVIDIA 人工智能机器人
@misc{BibEntry2023Mar,
title = { {Isaac Software Development Kit (SDK)}},
journal = {NVIDIA Developer},
year = {2023},
month = mar,
urldate = {2023-07-09},
language = {english},
note = {[Online; accessed 9. Jul. 2023]},
url = {https://developer.nvidia.com/isaac-sdk}
}

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转载自blog.csdn.net/orDream/article/details/131067934