Robotic Parcel Placement to Minimize Void Space in Conveyances
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Solution Overview
Problem
Current logistics systems face inefficiencies in packing diverse, non-uniform parcels due to the 3D-Bin Packing Problem (3D-BPP), leading to significant void space in transport containers, increased costs, and environmental impact, with existing automation failing to handle varying parcel shapes, sizes, and weights effectively.
Innovation Solution
An autonomous system with imaging, analytics, and robotic components that identify, grasp, and place parcels efficiently, minimizing void space by generating optimized picking and placing models, and integrating RFID tracking for inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If parcels of different sizes and shapes are packed manually into containers, then labor flexibility is maintained, but void space increases significantly (50-70%) and labor costs rise
Solution Approach 1:
The patent replaces manual mechanical packing operations with an automated system that uses computer vision (imaging devices), analytics processing, and robotic manipulation. This substitution eliminates the need for human labor while simultaneously reducing void space from 50-70% to significantly lower levels through optimized packing algorithms.
Solution Approach 2:
The system dynamically adjusts packing parameters such as parcel orientation, position, and container selection based on real-time analysis of parcel dimensions and container capacity. This parameter optimization enables maximum space utilization while accommodating diverse parcel shapes and sizes.
2Productivity
If traditional packing methods are used, then simplicity of operation is maintained, but productivity decreases due to high void space and increased transportation costs
Solution Approach 1:
The system performs self-analysis and self-optimization by automatically capturing images of parcels, analyzing their dimensions and characteristics, determining optimal packing arrangements, and executing the packing process without human intervention. This self-service capability drives productivity while maintaining operational simplicity.
Solution Approach 2:
The system performs preliminary analysis of parcel characteristics using imaging and analytics before the actual packing operation. This pre-processing step enables the system to plan the optimal packing sequence and arrangement in advance, maximizing productivity while keeping the actual packing operation simple and automated.
3Ease of operation
If automated picking and placing systems are implemented, then labor costs are reduced, but the system must handle diverse parcel shapes and sizes which increases system complexity
Solution Approach 1:
The automated system is designed with universal capabilities to handle diverse parcel types through multi-functional components: imaging devices capture various parcel shapes, analytics algorithms process different size configurations, and robotic manipulators adapt their grippers and movements to accommodate diverse geometries. This universality enables the system to manage parcel variability while maintaining ease of operation.
Solution Approach 2:
The system dynamically adapts to different parcel shapes and sizes by adjusting its operational parameters in real-time. The robotic manipulators modify their gripping force, position, and orientation based on the specific parcel being handled, enabling versatile operation across diverse parcel types while keeping the overall system easy to operate through centralized control.
Data Source
AI summary
Provided herein is a system for generating a model for the implementation a series of optimized picking and placing operations in a manner so as to minimize void space when packing a conveyance with parcels. The system may include a motorized intelligent base member, an automated positioning element that may be moveably coupled to the automated base member, and an automated gripping instrument. The system may include an analytics module for generating one or more models for moving the base member and associated positioning element proximate a parcel to be picked and placed, and for directing the gripper instrument for picking up the parcel for placement, in accordance with the generated placement model that minimized void space. In particular embodiments, the model may be a compilation of image and language data that is used to direct the movements of the system components in performing the picking and pacing operation.