Heterogeneous Robot Fleet for Collaborative Object Processing
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Solution Overview
Problem
Current warehouse management systems lack efficient automation for collaborative object processing, particularly in transporting and loading/unloading objects between different locations and vehicles, leading to inefficiencies in order fulfillment, distribution, and cross-docking processes.
Innovation Solution
A heterogeneous fleet of robotic devices, comprising mobile and fixed robotic manipulators, is deployed within a warehouse environment, where mobile robots transport objects to fixed manipulators for distribution to other robots or loading onto vehicles, leveraging a central control system for task assignment and coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a heterogeneous fleet of robotic devices is deployed for collaborative object processing, then productivity and automation extent are improved, but device complexity increases
Solution Approach 1:
The system divides the warehouse automation task into separate functional segments: mobile robotic devices handle transport tasks while fixed robotic manipulators handle manipulation tasks. This segmentation allows each robot type to specialize in specific operations, improving overall productivity while managing complexity through functional division.
Solution Approach 2:
The control system serves as a universal coordinating platform that manages diverse robot types (mobile and fixed manipulators) through a common interface. This multi-functional control architecture enables the heterogeneous fleet to operate cohesively, achieving high productivity without proportionally increasing operational complexity.
2Productivity
If mobile robotic devices transport objects to fixed manipulators for distribution, then task specialization and productivity improve, but coordination complexity increases
Solution Approach 1:
The control system acts as an intermediary that mediates between mobile robotic devices and fixed manipulators. It receives transport status updates from mobile robots, determines appropriate manipulation tasks, and assigns them to suitable fixed manipulators. This intermediary role simplifies coordination complexity by centralizing decision-making while enabling specialized task execution.
3Manufacturing precision
If fixed robotic manipulators are positioned at specific locations for object manipulation, then manipulation precision improves, but system adaptability decreases
Solution Approach 1:
The system achieves both precision and adaptability through dynamic task assignment. Fixed manipulators maintain precise manipulation capabilities at their specific locations, while the control system dynamically assigns different manipulation tasks to different manipulators based on real-time needs. This dynamic coordination allows the system to adapt to varying requirements without compromising the precision of individual manipulators.
Data Source
AI summary
Example systems and methods may provide for a heterogeneous fleet of robotic devices for collaborative object processing in an environment, such as a warehouse. An example system includes a plurality of mobile robotic devices configured to transport one or more objects within an environment, a fixed robotic manipulator positioned within the environment that is configured to manipulate one or more objects within an area of reach of the fixed robotic manipulator, and a control system. The control system may be configured to cause one or more of the plurality of mobile robotic devices to deliver at least one object to at least one location within the area of reach of the fixed robotic manipulator, and to cause the fixed robotic manipulator to distribute the at least one object to a different one or more of the plurality of mobile robotic devices for delivery to one or more other locations within the environment.