Want to Sound Smart About Vision‑Guidance for Robots?

1. Computer Vision

Technology that enables computers to “see” and interpret images or video from cameras and sensors.

2. 3D Vision Sensors

Cameras or laser-based devices that capture spatial data to create a detailed three‑dimensional view of objects or environments.

3. Workpiece

The part or object a robot is working on, whether that’s picking, placing, welding, or inspecting it.

4. CAD‑to‑Path

Using a 3D design (CAD model) of a part and automatically generating the movement path a robot needs to follow to work on it (like applying glue) without having to manually program every step.

5. Part Localization

Determining the exact position and orientation of a part so a robot can interact with it accurately.

6. Point Cloud

A dense set of points in three‑dimensional space representing the surface of an object, often used for measurement and guidance.

7. Sim2Real

Teaching a robot something in a virtual world (a simulator) and then making it work the same way in the real world, even though real life is messier and less predictable.

8. Real2Sim

Using data from the real world to make virtual simulations more accurate. This helps simulations better match reality, so robots or AI can train in a virtual world that feels more like the real one.

9. Adaptive Path Planning

Adjusting the robot’s trajectory mid‑task based on vision feedback to handle variations or misalignments.

10. Visual Servoing

A feedback control method where the robot’s movement is continuously adjusted using live camera data.

11. Edge AI Processing

Running computer vision algorithms directly on local devices, like smart cameras or embedded processors, to reduce delays and reliance on cloud computing.

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Learn how Inbolt's Vision-Guidance can enhance the flexibility of your automation, reducing downtime and cutting costs. Click here to book a demo.

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