Warehouse Robot Picking Coordination for Collision-Aware Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional Warehouse Management Systems (WMS) require significant time, labor, and energy due to inefficient handling of product orders without optimal consideration of geospatial factors and lack of regulated autonomous robot movement, leading to issues like collisions and traffic.
Innovation Solution
A system and method involving central processors directing robots to move to resource locations, with an assignment algorithm regulating their movement, and integrating human operators to optimize picking activities, considering geospatial factors and robot coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional WMS handles product orders without optimal consideration of geospatial factors, then orders are processed in received order, but time and labor consumption increase significantly
Solution Approach 1:
The system pre-calculates optimal picking routes and sequences before robots begin their tasks. The central processor determines the most efficient path through the warehouse based on geospatial factors, order priorities, and robot locations, allowing robots to execute predetermined optimized routes without real-time decision delays
Solution Approach 2:
The assignment algorithm dynamically reassigns orders to robots based on real-time conditions such as robot location, battery status, current task progress, and warehouse traffic patterns. This dynamic optimization continuously adjusts the distribution of work to maintain peak efficiency as conditions change during operation
2Ease of operation
If multiple robots move autonomously without regulated coordination, then robot mobility is maintained, but collisions and traffic obstructions occur
Solution Approach 1:
The central processor continuously receives real-time location and status data from all robots through communication modules. Based on this feedback, the system recalculates routes and provides real-time navigation instructions to robots, adjusting their paths dynamically to avoid collisions and optimize traffic flow in the warehouse environment
Solution Approach 2:
The central processor acts as an intermediary that coordinates all robot movements. It receives navigation requests from robots, processes them against current warehouse conditions and other robot locations, and issues authorized route commands. This intermediary control layer ensures no two robots occupy the same space simultaneously and prevents traffic obstructions
3Device complexity
If robots are directed without assignment algorithm regulation, then robot deployment is simple, but traffic and obstructions increase
Solution Approach 1:
The warehouse environment is segmented into multiple zones and virtual corridors that robots are directed to follow. The assignment algorithm divides the warehouse space into manageable segments with defined traffic patterns, allowing robots to operate independently within their assigned segments while maintaining overall system coordination through the central processor
Data Source
AI summary
A system and method are described that provide for directing robot picking activity in a warehouse environment. In one example of the system/method of the present invention, multiple robots are directed by one or more central processors to move to resource locations based on resource retrieval instructions. Once a robot is at or near a resource location (e.g., by a storage rock with an item on it), the resource may be obtained by the robot and/or placed (e.g., by a picker) on a platform linked to and controlled by the robot. The robot may then be directed to transport the resource to an outbound location (e.g., a loading dock). An assignment algorithm may be applied by the one or more processors to regulate movement of a robot according to a calculated arrival time of the robot at a second location.