Robotics Training in Jakarta

The ABB IRB 2600ID Robot Operation and Programming refer to the specialized training and skill development for operating and programming the ABB IRB 2600ID robot, a specific model of industrial robot designed by ABB, a leading robotics and automation company. This instructor-led, live training (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks. By the end of this training, participants will be able to:

• Understand how robotics is applied in welding.
• Develop proficiency in programming the ABB IRB 2600ID robot for various welding tasks.
• Learn to safely and effectively operate the ABB IRB 2600ID robot.
• Understand the safety standards and procedures relevant to robotic welding operations.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

A semiconductor is a substance whose resistivity lies between the conductors and insulators. The property of resistivity is not the only one that decides a material as a semiconductor, but it has a few properties as follows. Semiconductors have a resistivity that is less than insulators and more than conductors. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors. By the end of this training, participants will be able to:

• Understand the concept of energy and conduction band diagrams.
• Understand the internal structure of diodes and how they work.
• Have an in-depth understanding of intrinsic and extrinsic semiconductors.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Semiconductors are materials that have an electrical conductivity that enables advances in communications, computing, military systems, healthcare, clean energy, transportation, and a lot more innovative applications. This instructor-led, live training (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields. By the end of this training, participants will be able to:

• Know how electronic devices like diodes and transistors work.
• Analyze the carrier statistics in semiconductors.
• Understand the carrier dynamics of semiconductors and their resulting conduction properties.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.By the end of this training, participants will be able to:

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Robotics is an area in artificial intelligence (AI) that deals with the programming and designing of intelligent and efficient machines. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Robotics dan Artificial Intelligence (AI) adalah alat yang kuat untuk pengembangan sistem keamanan di fasilitas nuklir. Dalam instruktur ini, pelatihan langsung (online atau on-site), peserta akan mempelajari berbagai teknologi, kerangka kerja dan teknik untuk pemrograman berbagai jenis robot yang akan digunakan dalam bidang teknologi nuklir dan sistem lingkungan. Kursus 6 minggu berlangsung 5 hari seminggu. Setiap hari adalah 4 jam panjang dan terdiri dari kuliah, diskusi, dan praktis pengembangan robot dalam lingkungan laboratorium hidup. Para peserta akan menyelesaikan berbagai proyek dunia nyata yang dapat diterapkan pada pekerjaan mereka untuk mempraktikkan pengetahuan mereka yang diperoleh. Hardware sasaran untuk kursus ini akan diimulasikan dalam 3D melalui perangkat lunak simulasi. ROS (Robot Operating System) open-source framework, C++ dan Python akan digunakan untuk pemrograman robot. Pada akhir latihan ini, peserta akan dapat:

Memahami konsep-konsep kunci yang digunakan dalam teknologi robotik. Memahami dan mengelola interaksi antara perangkat lunak dan perangkat lunak dalam sistem robot. Memahami dan menerapkan komponen perangkat lunak yang mendasari robotik. Membangun dan mengoperasikan robot mekanik simulasi yang dapat melihat, merasakan, memproses, navigasi, dan berinteraksi dengan manusia melalui suara. Memahami elemen yang diperlukan dari kecerdasan buatan (pembelajaran mesin, pembelajaran mendalam, dll.) Untuk membangun robot yang cerdas. Implementasi filter (Kalman dan Partikel) untuk memungkinkan robot untuk menemukan objek bergerak di lingkungan. Mengimplementasikan algoritma pencarian dan perencanaan gerakan. Implementasi PID kontrol untuk mengatur pergerakan robot di dalam lingkungan. Mengimplementasikan algoritma SLAM untuk memungkinkan robot untuk memetakan lingkungan yang tidak diketahui. Memperluas kemampuan robot untuk melakukan tugas-tugas yang kompleks melalui Deep Learning. Menguji dan menyelesaikan masalah robot dalam skenario realistis.

Format Kursus

Konferensi dan diskusi interaktif. Banyak latihan dan praktek. Pelaksanaan tangan di lingkungan live-lab.

Opsi Customization Kursus

Untuk menyesuaikan bagian mana pun dari kursus ini (bahasa pemrograman, model robot, dll.) Silakan hubungi kami untuk mengatur.

Robotics dan Artificial Intelligence (AI) adalah alat yang kuat untuk pengembangan sistem keamanan di fasilitas nuklir. Dalam instruktur ini, pelatihan langsung (online atau on-site), peserta akan mempelajari berbagai teknologi, kerangka kerja dan teknik untuk pemrograman berbagai jenis robot yang akan digunakan dalam bidang teknologi nuklir dan sistem lingkungan. Kursus 4 minggu berlangsung 5 hari seminggu. Setiap hari adalah 4 jam panjang dan terdiri dari kuliah, diskusi, dan praktis pengembangan robot dalam lingkungan laboratorium hidup. Para peserta akan menyelesaikan berbagai proyek dunia nyata yang dapat diterapkan pada pekerjaan mereka untuk mempraktikkan pengetahuan mereka yang diperoleh. Hardware sasaran untuk kursus ini akan diimulasikan dalam 3D melalui perangkat lunak simulasi. Kode itu kemudian akan dimuat pada hardware fisik (Arduino atau lainnya) untuk pengujian penyebaran akhir. ROS (Robot Operating System) open-source framework, C++ dan Python akan digunakan untuk pemrograman robot. Pada akhir latihan ini, peserta akan dapat:

Memahami konsep-konsep kunci yang digunakan dalam teknologi robotik. Memahami dan mengelola interaksi antara perangkat lunak dan perangkat lunak dalam sistem robot. Memahami dan menerapkan komponen perangkat lunak yang mendasari robotik. Membangun dan mengoperasikan robot mekanik simulasi yang dapat melihat, merasakan, memproses, navigasi, dan berinteraksi dengan manusia melalui suara. Memahami elemen yang diperlukan dari kecerdasan buatan (pembelajaran mesin, pembelajaran mendalam, dll.) Untuk membangun robot yang cerdas. Implementasi filter (Kalman dan Partikel) untuk memungkinkan robot untuk menemukan objek bergerak di lingkungan. Mengimplementasikan algoritma pencarian dan perencanaan gerakan. Implementasi PID kontrol untuk mengatur pergerakan robot di dalam lingkungan. Mengimplementasikan algoritma SLAM untuk memungkinkan robot untuk memetakan lingkungan yang tidak diketahui. Menguji dan menyelesaikan masalah robot dalam skenario realistis.

Format Kursus

Konferensi dan diskusi interaktif. Banyak latihan dan praktek. Pelaksanaan tangan di lingkungan live-lab.

Tentang Hardware

Hardware kits akan disahkan oleh instruktur sebelum pelatihan. Kits akan lebih atau kurang mengandung komponen berikut: (4) Lembaga Pengontrol Motor Sensor Jarak Bluetooth Perbudakan Prototyping papan dan kabel Kabel USB Kendaraan Kit

Para peserta akan perlu menyediakan  hardware mereka sendiri.

Opsi Customization Kursus

Untuk menyesuaikan bagian mana pun dari kursus ini (bahasa pemrograman, model robot, microcontroller, dll.) Silakan hubungi kami untuk mengatur.

Amazon Web Services (AWS) RoboMaker adalah sumber, awan yang membantu pengguna untuk menciptakan dan memasukkan aplikasi robot. AWS RoboMaker meningkatkan sistem operatif Robot (ROS) dengan awannya, pelajar mesinnya, memeriksa, dan layanan simulasi.Latihan yang diberikan oleh instruktor, hidup (online atau on site) ini bertujuan untuk pembangun yang ingin memainkan, konfigurasi, dan mengatur kemampuan AWS RoboMaker untuk menciptakan, simulasi, dan memasukkan aplikasi untuk robot dan kendaraan dan perangkat autonomi.Pada akhir latihan ini, para penyebaran akan bisa menggunakan AWS RoboMaker untuk membina, simulasi, memanfaatkan, mengendalikan, ujian, dan monitor aplikasi robot.Format Course

Ceramah interaktif dan diskusi. Banyak latihan dan latihan. Implementasi tangan dalam lingkungan live-lab.

Pilihan Kusuasi Kursus

Untuk meminta pelatihan yang dipakai untuk kursus ini, silakan menghubungi kita untuk mengatur.

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language. By the end of this training, participants will be able to:

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:

• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave
• Prototyping board and cables
• USB cable
• Vehicle kit

• Participants will need to purchase their own hardware.
• If you wish to customize this training, please contact us to arrange.

This course introduces machine learning methods in robotics applications. It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition. After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.

This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python

This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises.

ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics. In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial. By the end of this training, participants will be able to:

• Install and configure ROS-Industrial
• Implement motion and path planning on ROS-I using tools such as MoveIt! and Descartes
• Create simple ROS-I applications
• Build, test, deploy, and troubleshoot a new robot with ROS-I

Audience

• Programmers
• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

Intelligent Process Automation, or IPA, refers to the use of Artificial Intelligence (AI), robotics and integration with third-party services to extend the power of RPA. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.
• To learn more about UiPath IPA, please visit: https://www.UiPath.com/rpa/intelligent-process-automation

The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to:

• Learn the fundamentals of intelligent bots
• Learn how to create intelligent bots using cloud applications
• Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
• Understand how to design bots using bot patterns
• Develop their first intelligent bot using Microsoft Azure

Audience

• Developers
• Hobbyists
• Engineers
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.By the end of this training, participants will be able to:

• Understand the different uses and applications of bots
• Understand the complete process in developing bots
• Explore the different tools and platforms used in building bots
• Build a sample chatbot for Facebook Messenger
• Build a sample chatbot using Microsoft Bot Framework

Audience

• Developers interested in creating their own bot

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world. In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects. The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate 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 Smart Robots
• Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice
• Extend a Smart Robot's ability to perform complex tasks through Deep Learning
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To customize any part of this course (programming language, robot model, etc.) please contact us to arrange.

ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots. In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools. By the end of this training, participants will be able to:

• Understand the basics of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use different tools for robotics including simulation and visualization tools.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones. This instructor-led, live training (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.

Format of the course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• This training is based on the open source autopilot software: ArduPilot.
• To request a customized training for this course, please contact us to arrange.

Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability. This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.