Roboception rc_reason ItemPickAI Overview
rc_reason ItemPickAI is a Roboception module that combines neural-network segmentation with classical methods to pick unseen and deformable objects such as bags without retraining.
Users choose an object category and suction cup size, and it places a grasp at each object's centre with the computed orientation, for mixed feeds, dense packing and conveyor loading.
Key Specifications
Specification | Roboception rc_reason ItemPickAI |
Manufacturer | Roboception |
Model | rc_reason ItemPickAI |
Category | Software & AI / AI robot picking software |
Method | Neural segmentation plus classical vision |
Objects | Unseen and deformable, including bags |
Settings | Object category, suction cup size |
Output | Centre grasp with orientation |
Price | Price on request |
Price available on request. Any price is indicative, not final and may change.
Applications
Depalletizing mixed goods
Cross-belt sorter feeding
Dense packing
Industries
Logistics
Retail distribution
E-commerce
Strengths
No retraining for new items
Handles bags and soft goods
Limitations
Suction-based picking only
About Roboception
Roboception is a Munich company that builds the rc_visard 3D stereo sensors, the rc_cube edge computer and rc_reason perception software for robot picking, matching and navigation.
Company profile: Roboception
