Robotic Package Loading With Container Rotation
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Solution Overview
Problem
The process of fulfilling online orders in fulfillment centers is complicated by the need to transport and sort packages efficiently, as existing systems face bottlenecks in directing products to packing stations and sorting large volumes of packages, leading to suboptimal container utilization and slow processing times.
Innovation Solution
Automated package loading systems using robotic manipulators and platforms to rotate containers, combined with computer vision and sensors, optimize package placement within containers without manual intervention, reducing hardware complexity and improving throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual package loading is used, then labor flexibility is maintained, but processing speed and throughput are limited
Solution Approach 1:
The system uses computer vision and sensors to enable the container and packages to 'self-assess' their compatibility and optimal placement, with the robotic manipulator executing pre-determined placement decisions without complex real-time control algorithms
Solution Approach 2:
The patent replaces complex mechanical sorting systems with a combination of computer vision, sensing, and a single robotic manipulator that uses intelligence to determine package placement, reducing mechanical complexity while increasing automation capability
2Productivity
If traditional sortation machines are used, then packages can be directed to packing stations, but bottlenecks occur in sorting large volumes of packages
Solution Approach 1:
The system performs preliminary assessment of package dimensions, weights, and container characteristics using computer vision and sensors before loading, allowing optimal placement decisions to be made in advance, which speeds up the actual loading process and reduces bottlenecks
Solution Approach 2:
The system dynamically adjusts placement parameters based on real-time sensing of package characteristics and container state, optimizing the loading process for different package types and container configurations to maintain high throughput without creating bottlenecks
3Productivity
If containers are not optimized for loading, then loading process is simpler, but container utilization is suboptimal
Solution Approach 1:
The system uses sensors and computer vision to continuously monitor package placement and container filling status, providing feedback that allows real-time optimization of container utilization while maintaining a relatively simple loading mechanism
Solution Approach 2:
The system dynamically adjusts package placement strategies based on real-time container state and package characteristics, enabling high container utilization without requiring complex pre-planning or rigid loading structures
Data Source
AI summary
Systems and methods are disclosed to automatically load packages into containers. In one embodiment, an example system may include a robotic platform configured to elevate and rotate a container to a predetermined orientation, and a robotic manipulator configured to retrieve a first package from a surface and to position the first package inside the container at a predetermined position.