AI Robotics
3D Robot Vision
AI-based 3D vision for random bin picking, depalletizing and robotic material handling.
Roadmap — under development
Overview
3D Robot Vision
The flagship robotics product — equivalent in scope to the market-leading 3D bin-picking systems. Point-cloud processing, 6D pose estimation, grasp generation and collision-free motion planning across reflective, dark, deformable and transparent objects.
6Dpose estimation
thousandsof SKUs
0new robot program per part
Capabilities
What the product does
3D acquisition
Structured-light, stereo, time-of-flight and laser profilers; multi-camera stitching.
Object understanding
Point-cloud segmentation, 3D detection, CAD matching and model-free recognition.
Grasp generation
Suction & parallel-gripper points with grasp-quality scoring.
Collision avoidance
Bin-wall and robot self-collision avoidance, joint-limit validation.
Hard-material handling
Reflective, dark, deformable and transparent-object strategies.
Failure recovery
Empty-bin detection, re-grasp planning and pick-failure recovery.
How it works
Workflow
3D capturePoint-cloud processing6D pose estimationGrasp-point generationCollision checkMotion planRobot executionEmpty-bin / recovery
Integration
- Universal Robots, ABB, FANUC, Yaskawa (stage one)
- Structured-light & RGB-D 3D cameras
- Driver-plugin architecture
- PacketDCS OEE & OCC
Into OEE
Bin-picking cells report robot utilisation, failed-pick counts and cycle-time loss directly to OEE — the operational layer standalone robot-vision systems lack.
Next step
Evaluate 3D Robot Vision
A structured, paid proof of concept on your own line, with quantified results.