Semiconductor Physics Training Course

This instructor-led, live training in New Zealand (delivered either online or on-site) is designed for beginner-level robotics engineers who wish to gain a thorough understanding of how to operate and program 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 a range of welding tasks.
• Learn to safely and effectively operate the ABB IRB 2600ID robot.
• Understand the safety standards and procedures relevant to robotic welding operations.

Drones and photogrammetry have become essential tools for high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modelling, and high-accuracy drone mapping, professionals can achieve deeper insight, greater accuracy, and improved productivity in construction environments.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level professionals who wish to apply advanced drone and photogrammetry workflows—including geodetic controls and high-precision mapping techniques—to complex infrastructure projects.

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

• Apply advanced photogrammetric methods, including RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections for large-scale infrastructure sites.
• Design precision flight missions tailored to complex terrain and infrastructure geometry.
• Analyse photogrammetry data using GIS software for structural health monitoring, deformation detection, and compliance tracking.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in New Zealand (available online or on-site) is designed for engineers and developers who wish to design, develop, and test aerial vehicles by exploring various aerial robotics concepts and tools.

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

• Understand the fundamentals of aerial robotics.
• Model and design UAVs and quadrotors.
• Gain an understanding of the basics of flight control and motion planning.
• Learn how to utilise different simulation tools for aerial robotics.

ArduPilot is an open-source autopilot software suite designed for drones, rovers, and other unmanned vehicles. It offers advanced capabilities such as autonomous navigation, real-time communication with ground stations, and seamless integration with robotics middleware like ROS2.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level developers and technical professionals who wish to design, program, and test unmanned aerial vehicles (UAVs) using ArduPilot.

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

• Set up a complete development environment for ArduPilot.
• Configure firmware, middleware, and MAVLink APIs for UAV control.
• Use SITL simulation to safely test and debug drone behaviour.
• Extend ArduPilot with ROS2 and integrate it with external tools or sensors.
• Develop autonomous flight logic and execute end-to-end UAV missions.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live lab environment.

Course Customisation Options

• This training is based on the open-source autopilot software ArduPilot. To request a customised version of this course, please contact us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is designed for developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots, 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 robotic applications.

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, with hands-on exercises and practical activities

Note

• Hardware kits will be specified by the instructor prior to the training, but will generally include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants will need to purchase their own hardware.
• If you wish to customise this training, please contact us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is designed for anyone wishing to understand the fundamentals of Unmanned Aerial Systems (UAS) and apply drone technology in planning, operations, management, and analysis across various industries.

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

• Acquire foundational knowledge of UAVs and drones.
• Understand drone classifications and use cases to identify suitable UAVs that meet diverse needs.
• Evaluate delivery options and regulatory requirements for the effective operation of drones.
• Appreciate the risks and ethical considerations associated with drone technology.
• Explore future applications and capabilities of UAVs, including their integration with other emerging technologies.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level participants who wish to learn how to use drones and photogrammetry techniques for infrastructure supervision in construction projects.

By the end 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 New Zealand (available online or on-site) is designed for agriculture technicians, researchers, and engineers who wish to apply aerial robotics to enhance data collection and analysis in agriculture.

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

• Understand drone technology and the associated regulations.
• Deploy drones to acquire, process, and analyse crop data to improve farming and agricultural practices.

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

This instructor-led, live training (available online or on-site) is designed for beginner 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 CAA and local drone regulations.
• Implement best practices for efficient and safe drone operations.
• Prepare for certification/licensing through theoretical and practical training.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for intermediate to advanced engineers and technicians who want to learn how to program, operate, and optimise Fanuc and Epson robotic systems for industrial applications.

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

• Understand the architecture and functionality of Fanuc and Epson robots.
• Program robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting techniques.
• Optimise robotic workflows for improved efficiency.

The FIFISH V6 Expert is a professional-grade underwater remotely operated vehicle designed for inspection, exploration, and assessment of submerged structures.

This instructor-led, live training (delivered either online or on-site) is tailored for intermediate-level technical staff seeking to operate and manoeuvre the FIFISH V6 Expert safely and effectively during underwater inspections.

Upon completing this training, participants will be equipped to:

• Configure, calibrate, and maintain the FIFISH V6 Expert system.
• Pilot the ROV in both open water and confined underwater environments.
• Conduct submerged structural inspection tasks using onboard sensors and tools.
• Capture, manage, and analyse underwater video and data.

Course Format

• Instructor-led demonstrations and practical briefings.
• Hands-on exercises using either real equipment or simulator environments.
• Field operation practice under supervised piloting scenarios.

Course Customisation Options

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

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to assist developers in building, testing, and deploying robotic applications with greater efficiency. Participants will learn how to containerise robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The course places strong emphasis on agility, version control, and collaborative practices tailored for early-stage development and innovation teams.

This instructor-led, live training (available online or on-site) is aimed at beginner to intermediate-level participants who wish to accelerate their robotics development workflows using ROS 2 and Docker.

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

• Set up a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Use simulation tools to validate system behaviour before hardware deployment.
• Collaborate effectively using containerised robotics projects.
• Apply continuous integration and deployment concepts within robotics pipelines.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises using ROS 2 and Docker environments.
• Mini-projects focused on real-world robotic applications.

Course Customisation Options

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

In this instructor-led, live training in New Zealand, participants will learn how to begin using ROS for their robotics projects through the use of robotics visualisation and simulation tools.

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

• Understand the fundamentals of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use various robotics tools, including simulation and visualisation tools.

This instructor-led, live training in New Zealand (available online or on-site) is designed for beginner 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.
• Troubleshoot and debug ROS applications.