機器人學(Robotics)培訓 | Robotics培訓

機器人學(Robotics)培訓

本地的、由教師指導的現場機器人培訓課程通過互動式動手實踐展示了機器人技術的基礎知識和高級概念。

機器人培訓可作為 "現場現場培訓" 或 "遠端現場培訓" 提供。現場現場培訓可以在 台灣 的客戶場所或 台灣 的 nobleprog 企業培訓中心進行。遠端現場培訓是通過互動式遠端桌面進行的。

nobleprog--您當地的培訓供應商

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機器人學(Robotics)課程大綱

課程名稱
課程時長
概觀
課程名稱
課程時長
概觀
21小時
概觀
本課程介紹機器人應用中的機器學習方法。

它概述了模式識別背景下的現有方法,動機和主要思想。

在簡短的理論背景之後,參與者將使用開源(通常為R)或任何其他流行軟件進行簡單的練習。
28小時
概觀
在這一由講師引導的實時培訓中,學員將學習如何使用Arduino硬件和Arduino(C/C++)語言創建機器人。

在本次培訓結束後,學員將能夠:

- 構建並運行一個包含軟件和硬件組件的機器人系統
- 了解機器人技術中使用的關鍵概念
- 將電機、傳感器、微控制器組裝到工作機器人中
- 設計機器人的機械結構

受衆

- 開發人員
- 工程師
- 機器人愛好者

課程形式

- 部分講座、部分討論、練習和大量實操

提示

- 在培訓之前,講師將指定硬件套件,大致包含以下組件:

- Arduino板
- 電機控制器
- 距離傳感器
- 藍牙從屬裝置(Bluetooth Slave)
- 原型板和電纜
- USB電纜
- 車載套件

- 學員需要購買自己的硬件。
- 若需定制本培訓課程,請聯系我們以作安排。
21小時
概觀
這個基于課堂的培訓課程將結合人工智能和機器人在商業中的應用,探索NLP技術。代表們將使用Python進行基于計算機的示例和案例研究解決練習
14小時
概觀
這個基於課堂的培訓課程將探討Robotics和Robotic Process Automation (RPA) 。代表們將進行基於計算機的示例和案例研究解決練習。
14小時
概觀
ROS -Industrial( ROS -I)是一個以ROS基礎的開源項目。它將ROS的功能擴展到製造自動化和機器人技術。

在這個以講師為主導的現場培訓中,參與者將學習如何開始使用ROS -Industrial開發。

在培訓結束時,參與者將能夠:

- 安裝和配置ROS -Industrial
- 使用MoveIt等工具在ROS -I上實現運動和路徑規劃!和笛卡爾
- 創建簡單的ROS -I應用程序
- 使用ROS -I構建,測試,部署和排除新機器人故障

聽眾

- 程序員
- 開發商
- 工程師

課程形式

- 部分講座,部分討論,練習和繁重的實踐練習

注意

- 要申請本課程的定制培訓,請聯繫我們安排。
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities.

By the end of this training, participants will be able to:

- Install and configure UiPath IPA.
- Enable robots to manage other robots.
- Apply computer vision to locate screen objects with accuracy.
- Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.

By the end of this training, participants will be able to:

- Implement filters (Kalman and particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
80小時
概觀
In this instructor-led, live training in 台灣 (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

- Understand the key concepts used in robotic technologies.
- Understand and manage the interaction between software and hardware in a robotic system.
- Understand and implement the software components that underpin robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Test and troubleshoot a robot in realistic scenarios.
120小時
概觀
In this instructor-led, live training in 台灣 (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

- Understand the key concepts used in robotic technologies.
- Understand and manage the interaction between software and hardware in a robotic system.
- Understand and implement the software components that underpin robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Extend a robot's ability to perform complex tasks through Deep Learning.
- Test and troubleshoot a robot in realistic scenarios.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
84小時
概觀
智能機器人是一個人工智能(AI)系統,可以從其環境和經驗中學習,並根據這些知識構建其功能。智能機器人可以與人類協作,與他們一起工作並從他們的行爲中學習。此外,他們不僅具有體力勞動,而且具有認知任務的能力。除了物理機器人之外,智能機器人還可以是純粹基于軟件的,作爲軟件應用程序駐留在計算機中,沒有移動部件或與世界物理交互。 在這種有指導性的現場培訓中,參與者將學習用于編程不同類型機械智能機器人的不同技術,框架和技術,然後應用這些知識完成他們自己的智能機器人項目。 該課程分爲4個部分,每個部分包括爲期三天的講座,討論和在現場實驗室環境中開發機器人。每個部分都將結束一個實際的簡單項目,讓參與者練習和展示他們獲得的知識。 本課程的目標硬件將通過仿真軟件進行3D模擬。 ROS(機器人操作系統)開源框架,C ++和Python將用于編程機器人。 在培訓結束後,參與者將能夠: 了解機器人技術中使用的關鍵概念理解和管理機器人系統中軟件和硬件之間的交互理解並實施支撐智能機器人的軟件組件構建和操作模擬機械智能機器人,通過語音可以看到,感知,處理,掌握,導航和與人類互動通過深度學習擴展智能機器人執行複雜任務的能力在實際場景中測試並排除智能機器人的故障 聽衆 開發商工程師 課程的格式 部分講座,部分討論,練習和沈重的練習 注意 要定制本課程的任何部分(編程語言,機器人模型等),請聯系我們安排。
14小時
概觀
Azure Bot服務結合了Microsoft Bot Framework和Azure功能的強大功能,可實現智能機器人的快速開發。

在這個由講師指導的實時培訓中,參與者將學習如何使用Microsoft Azure輕鬆創建智能機器人

在培訓結束時,參與者將能夠:

- 了解智能機器人的基礎知識
- 了解如何使用雲應用程序創建智能機器人
- 了解如何使用Microsoft Bot Framework,Bot Builder SDK和Azure Bot服務
- 了解如何使用bot模式設計機器人
- 使用Microsoft Azure開發他們的第一個智能機器人

聽眾

- 開發商
- 愛好者
- 工程師
- IT專業人士

課程形式

- 部分講座,部分討論,練習和繁重的實踐練習
14小時
概觀
機器人或聊天機器人就像一個計算機助手,用於在各種消息傳遞平台上自動化用戶交互,更快地完成任務,而無需用戶與另一個人交談。

在這個以講師為主導的現場培訓中,參與者將學習如何開始開發機器人,因為他們使用機器人開發工具和框架逐步創建示例聊天機器人。

在培訓結束時,參與者將能夠:

- 了解機器人的不同用途和應用
- 了解開發機器人的完整過程
- 探索用於構建機器人的不同工具和平台
- 為Facebook Messenger構建示例聊天機器人
- 使用Microsoft Bot Framework構建示例聊天機器人

聽眾

- 有興趣創建自己的機器人的開發人員

課程形式

- 部分講座,部分討論,練習和繁重的實踐練習
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems.

By the end of this training, participants will be able to:

- Gain an overview of artificial intelligence, machine learning, and computational intelligence.
- Understand the concepts of neural networks and different learning methods.
- Choose artificial intelligence approaches effectively for real-life problems.
- Implement AI applications in mechatronic engineering.
21小時
概觀
ROS是機器人操作系統(Robot Operating System)。它是一個開源框架,用于幫助開發先進的機器人。

在這一由講師引導的實時培訓中,學員將學習如何通過使用機器人可視化和模擬工具開始將ROS用于他們的機器人項目。

在本次培訓結束後,學員將能夠:

- 了解ROS的基礎知識
- 學習如何使用ROS創建一個基本的機器人項目
- 了解如何使用不同的機器人工具,包括模擬和可視化工具

受衆

- 機器人愛好者
- 機器人發燒友
- 工程師和技術人員

課程形式

- 部分講座、部分討論、練習和大量實操
14小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone.

By the end of this training, participants will be able to:

- Setup a suitable development environment.
- Select and apply the right tools for programming a drone.
- Understand and configure the firmware, middleware and API stack.
- Test and debug their code using drone simulation software.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools.

By the end of this training, participants will be able to:

- Understand the basics of aerial robotics.
- Model and design UAVs and quadrotors.
- Learn about the basics of flight control and motion planning.
- Learn how to use different simulation tools for aerial robotics.
7小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries.

By the end of this training, participants will be able to:

- Gain fundamental knowledge of UAVs and drones.
- Learn about drone classifications and uses to find suitable UAVs that address different needs.
- Evaluate delivery options and regulations for the convenient operation of drones.
- Understand the risks and ethics of using drone technology.
- Explore future uses and capabilities of UAVs including integration with other technologies.
21小時
概觀
This instructor-led, live training in 台灣 (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.

By the end of this training, participants will be able to:

- Understand drone technology and regulations related to it.
- Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.

近期機器人學(Robotics)培訓課程

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