Robotic Arm Sortation on Moving Conveyors
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Solution Overview
Problem
Fulfillment centers face inefficiencies in processing and sorting large volumes of packages due to challenges in robotic handling of items with varying packaging and cluttered environments, leading to decreased throughput and increased manual effort.
Innovation Solution
Implementing automated robotic sortation systems with robotic arms that can grasp and sort items on moving conveyors, using camera systems and scanners to identify objects and determine pick points, even in cluttered conditions, and optimizing process flows to improve sorting accuracy and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic equipment is used to handle packages, then productivity is improved, but reliability deteriorates due to difficulty in handling items with varying packaging and in cluttered environments
Solution Approach 1:
The system performs preliminary identification and classification of packages using cameras and sensors before robotic handling. Packages are pre-sorted by destination and characteristics, allowing robotic arms to execute standardized picking motions with higher reliability. This advance preparation reduces the complexity of real-time decision-making during package handling.
Solution Approach 2:
An intermediary control system coordinates between the conveyor, camera systems, and robotic arms. This mediator processes visual data, determines optimal pick points, and sequences robotic movements to avoid collisions and misinterpretations, thereby improving handling reliability while maintaining high productivity.
2Reliability
If manual sorting is used, then reliability is maintained, but productivity deteriorates due to increased manual effort and lower throughput
Solution Approach 1:
The system enables self-service sorting where packages automatically present their identification information (barcodes, RFID tags, or visual characteristics) to the scanning system. This eliminates the need for manual intervention in the identification process, maintaining high sorting accuracy while dramatically increasing throughput by processing multiple packages simultaneously without human labor constraints.
3Productivity
If robotic arms grasp items on moving conveyors, then productivity is improved, but device complexity increases due to coordination challenges
Solution Approach 1:
The system divides the package handling process into discrete, independent segments: identification phase, decision phase, and execution phase. Each segment is handled by specialized subsystems (cameras for identification, controllers for decision-making, robotic arms for execution). This segmentation reduces overall system coordination complexity by allowing each module to operate semi-independently with well-defined interfaces.
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for automated robotic sortation. In one embodiment, an example system may include a first robotic arm configured to grasp a moving object from a conveyor while the conveyor is in motion, a camera system configured to image objects moving on the conveyor, and a first scanner configured to scan machine-readable codes on objects moving on the conveyor. The system may be configured to sort objects from the conveyor using the first robotic arm based at least in part on an object destination.