ABB IRB 2600ID Robot Operation and Programming Training Course

Drones and photogrammetry have become indispensable tools in high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve deeper insights, greater accuracy, and enhanced productivity within construction environments.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced-level professionals who aim to apply sophisticated drone and photogrammetry workflows. These include geodetic controls and high-precision mapping techniques tailored to complex infrastructure projects.

Upon completion of this training, participants will be able to:

• Implement advanced photogrammetric methods, such as RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections suitable for large-scale infrastructure sites.
• Design precision flight missions adapted to complex terrains and infrastructure geometries.
• Analyze photogrammetry data using GIS software to monitor structural health, deformation, and compliance.

Course Format

• Interactive lectures and discussions.
• Advanced exercises and real-world case studies.
• Hands-on implementation using drone data and modeling tools.

Course Customization Options

• For those interested in a customized training session, please contact us to make arrangements.

This instructor-led live training in Kenya (online or onsite) is designed for engineers and developers interested in designing, developing, and testing aerial vehicles through the exploration of diverse aerial robotics concepts and tools.

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

• Understand the core principles of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn about the fundamentals of flight control and motion planning.
• Learn how to employ different simulation tools for aerial robotics.

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 instructor-led, live training in Kenya (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.

Instructor-led, this live training (available online or onsite) is designed for beginner to intermediate participants aiming to learn how to apply drone and photogrammetry techniques for supervising construction infrastructure.

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

• Understand the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking and create detailed maps and 3D models.
• Use photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to improve construction site safety and efficiency.

This instructor-led, live training in Kenya (online or onsite) is designed for agricultural 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.

The Evo Max 4T is a professional-grade drone designed for advanced aerial operations, inspections, and data collection.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level operators who wish to safely and effectively use the Evo Max 4T for professional applications and prepare for official certification.

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

• Understand the technical specifications and operation of the Evo Max 4T drone.
• Apply operational safety procedures in aerial activities.
• Comply with current AAC and local drone regulations.
• Implement best practices for efficient and safe drone operations.
• Prepare for certification/licensing through theoretical and practical training.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with drone equipment and simulators.
• Practical exercises and real flight scenarios.

Course Customization Options

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

This instructor-led, live training in Kenya (online or onsite) targets intermediate to advanced engineers and technicians who aim to acquire skills in programming, operating, and optimizing Fanuc and Epson robotic systems for industrial applications.

Upon completion of this training, participants will be able to:

• Grasp the architecture and functionalities of Fanuc and Epson robots.
• Program robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting techniques.
• Optimize robotic workflows to enhance efficiency.

The FIFISH V6 Expert is a high-end underwater remotely operated vehicle (ROV) engineered for inspection, exploration, and the assessment of submerged structures.

This instructor-led live training, available either online or at your site, targets technical staff with intermediate skills who aim to operate and manoeuvre the FIFISH V6 Expert safely and effectively during underwater inspections.

Upon completing this training, learners will be able to:

• Set up, calibrate, and maintain the FIFISH V6 Expert system.
• Pilot the ROV in both open water and confined underwater spaces.
• Perform submerged structural inspection tasks using the system's onboard sensors and tools.
• Capture, manage, and analyse underwater video and data.

Course Format

• Instructor-led demonstrations accompanied by practical briefings.
• Hands-on exercises utilising real equipment or simulator environments.
• Field operation practice through supervised piloting scenarios.

Customisation Options

• Training content can be tailored to fit specific inspection environments, mission profiles, or operator competency requirements.

This course presents an introduction to machine learning techniques applied within robotics.

It offers a comprehensive overview of current methodologies, the underlying motivations, and core concepts situated within the framework of pattern recognition.

Following a brief theoretical foundation, participants will engage in practical exercises using open-source tools, predominantly R, or other widely-used software platforms.

Natural Language Processing (NLP) converts unstructured text into valuable insights, empowering machines to interpret human language effectively. This module covers core methodologies including corpus analysis, sentence parsing, text preprocessing workflows, and dimensionality reduction using Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF). Participants will engage in hands-on implementation of document clustering, topic modelling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation using Python. By the end of the course, practitioners will be equipped to develop intelligent text analytics systems capable of automating content classification and search functions.

Hands-On Rapid Prototyping for Robotics Using ROS 2 & Docker is a practical course crafted to assist developers in efficiently building, testing, and deploying robotic applications. Participants will acquire skills in containerizing robotics environments, integrating ROS 2 packages, and prototyping modular robotic systems by leveraging Docker for enhanced reproducibility and scalability. The curriculum places strong emphasis on agility, version control, and collaborative practices ideal for innovation teams at the early stages of development.

This instructor-led live training, available both online and onsite, is tailored for participants at beginner to intermediate levels who aim to speed up their robotics development workflows through the use of ROS 2 and Docker.

Upon completing this training, participants will be capable of:

• Establishing a ROS 2 development environment within Docker containers.
• Developing and testing robotic prototypes within modular and reproducible setups.
• Utilizing simulation tools to validate system behaviour prior to hardware deployment.
• Collaborating effectively via containerized robotics projects.
• Applying continuous integration and deployment concepts within robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Practical exercises involving ROS 2 and Docker environments.
• Mini-projects centred on real-world robotic applications.

Customization Options

• To request a customized training session for this course, please reach out to us to make arrangements.

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.

ROS-Industrial (ROS-I) is an open-source initiative that leverages ROS to enhance manufacturing automation and robotics capabilities.

This instructor-led live training guides participants through the fundamentals of developing with ROS-Industrial.

Upon completion, attendees will be capable of:

• Installing and configuring ROS-Industrial
• Executing motion and path planning on ROS-I utilizing tools like MoveIt! and Descartes
• Developing straightforward ROS-I applications
• Constructing, testing, deploying, and resolving issues for new robots using ROS-I

Target Audience

• Programmers
• Software Developers
• Engineers

Course Format

• A blend of lectures, discussions, practical exercises, and intensive hands-on practice

Note

• For personalized training arrangements, please get in touch with us.

This instructor-led live training in Kenya (online or onsite) is designed for beginner to intermediate robotics developers, and potentially advanced-level professionals, who wish to learn how to program mobile robots using ROS and Python.

By the conclusion 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.