ScenariosLearning Hub
Robotics & smart manufacturing

Your robot arm’s first pick.

You are an automation engineer setting up a workstation on a small assembly line. A blue component arrives in the Pickup area, and your job is to plan how the robot will place it in the Target tray without dropping it or hitting nearby objects.

Explore the joints and coordinate frames, then arrange the pick-and-place steps before programming a physical robot.

45–60 minutesBeginner friendly6-axis teaching model

Select a part to see how it works.

Live 3D
Six-axis collaborative armPick-and-place learning studio
Drag to orbit · Scroll to zoom
Explore
01
Base

Simplified teaching model · No grasp or collision simulation.

Knowledge map

Match each numbered part to its ideas and an action to try.

On the robotConnected knowledgeWhat you can observe
Across the whole workstation

Planning and safety connect all parts, the workpiece and the environment.

Five part families describe the anatomy. The six joint axes are J1–J6; the gripper is a tool, not a seventh arm joint.

Plan the pick

Arrange eight actions to move the part from Pickup to Target.

Choose the next action

Click an action to add it. You can move or remove it in your plan.

Your pick-and-place plan

    Your plan starts here. How should the tool approach the part?

    Assume the part location is known, the gripper starts open and the work area has been checked. This is a sequencing exercise; it does not execute or validate a real robot path.

    Industry connections

    Potential collaborators and related teaching ideas

    China Mobile Hong Kong

    Connectivity & industrial IoT

    Explore 5G connectivity, edge computing and remote workstation monitoring.

    Explore enterprise services

    Universal Robots

    Collaborative robotics & learning

    Connect tool design and virtual exercises to hands-on robot programming.

    Explore learning resources

    ABB Robotics

    Industrial automation & robotics

    Compare handling paths, cycle times and workspace constraints.

    Explore robotics applications

    These organisations illustrate potential collaborations only. No partnership, sponsorship or endorsement is implied. Logos belong to their respective owners and are shown for identification.

    Bring your own teaching scenario.

    Use this structure for a case from your discipline.

    Every real problem is a place to start.

    Explore scenarios across disciplines

    Your robot arm’s first pick

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    Design a rehabilitation session

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    Concept only

    The robot arm is the interactive showcase. The other entries illustrate how this approach could extend to other disciplines.

    Start with a real problem. Learn to transfer knowledge.

    How a learning scenario is organised

    Understand the task, explore the model, connect concepts and experiment. Then explain your choices using what you observed.

    Understand the problem

    Define the real context, learners, prior knowledge and evidence of success.

    Explore and ask

    Explore key objects through 3D, images or video, with Tutor explanations connected to the selected part.

    Connect and practise

    Use the knowledge map to see relationships, then test your understanding through small tasks.

    Explain and transfer

    Discuss what changed and consider how the principles apply to another device or discipline.

    Turn your teaching case into an explorable scenario.

    Describe your teaching case and export a reusable scenario file.

    Your content stays in the exported local file. This showcase does not upload or publish it.

    A teaching showcase you can build on.

    Features, sources and future integration

    Interactive 3D in the browser

    An original simplified arm built with Three.js supports orbiting, zooming, multiple views, part selection and joint-angle demonstrations. It is not an exact UR5 model and does not solve inverse kinematics, dynamics or collision detection.

    Tutor demo and AI integration

    The demo uses local rules and a scenario knowledge base, with no live AI model. A future server can pass questions, the selected part and scenario knowledge to the institution’s chosen model. API credentials should remain on that server.

    A reusable learning structure

    Reuse the scenario description, media, concepts, Tutor context, tasks and industry opportunities with a case from another discipline. The template form exports JSON.

    Real logo sources

    Universal Robots and ABB logos come from their official websites. The China Mobile mark comes from a China Mobile Hong Kong press asset. UR source · ABB source · CMHK press source. Logos are not endorsements.

    References and licences

    The learning structure draws on TU Delft’s DigiPedia UR5 course and HANDZONe. This page uses original teaching content and a simplified model; no institutional endorsement is implied. Three.js r160.1 is included under the MIT License, with the full licence embedded in this HTML.

    The model, Tutor demo, tasks and exports work offline. External courses require internet access. When permitted by the browser, your pick plan is saved locally and is not uploaded.

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