Autonomous Robot Live Image Feed for Object Retrieval
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Solution Overview
Problem
Autonomous computing systems face errors and inefficiencies in performing tasks, particularly in retrieving and managing physical objects within facilities, due to limitations in navigation, object recognition, and inventory management.
Innovation Solution
An autonomous fulfillment system comprising a first computing system with an interactive display, autonomous robot devices equipped with sensors and image capturing capabilities, and a second computing system that communicates with both to transmit instructions for object retrieval, navigation, and inventory management, using machine-readable identifiers and sensors to ensure accurate object identification and handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous robot devices are used to retrieve and manage physical objects, then productivity is improved, but reliability deteriorates due to errors in navigation, object recognition, and inventory management
Solution Approach 1:
The system implements real-time feedback loops where sensors continuously monitor the robot's navigation status, object recognition accuracy, and inventory management progress. This feedback enables the control system to detect errors and make real-time corrections, resolving the reliability issue while maintaining high productivity through automated operations
Solution Approach 2:
The patent replaces manual mechanical operations with sensor-based detection systems and automated control algorithms. Sensors and image recognition systems substitute for human visual inspection and decision-making, improving both the speed (productivity) and accuracy (reliability) of object retrieval and inventory management tasks
2Measurement precision
If sensor and image capturing capabilities are added to autonomous robot devices, then object identification accuracy is improved, but device complexity increases
Solution Approach 1:
The system employs multi-functional sensors that serve multiple purposes: navigation, object recognition, and inventory management. By using universal sensor platforms that can perform various detection tasks, the system achieves high measurement precision without proportionally increasing device complexity, as the same hardware infrastructure supports multiple functions
Solution Approach 2:
The patent introduces intermediate processing layers including sensor data fusion algorithms and image recognition software that mediate between raw sensor inputs and final object identification. These intermediary computational layers enhance accuracy by processing and correlating data from multiple sensors, while keeping the physical hardware complexity manageable through software-based solutions
Data Source
AI summary
Described in detail herein is an autonomous fulfillment system. The system includes the first computing system with an interactive display. The first computing system can transmit a request for physical objects from a facility. A second computing system can transmit instructions to autonomous robot devices to retrieve the physical objects from the facility. The second computing system can control the image capturing device of an autonomous robot device to capture a live image feed of at least one physical object picked up by the autonomous robot device. The second computing system can switch an input feed of the first computing system to display the live image feed on the interactive display of the first computing system. The second computing system can instruct the autonomous robot device to discard the physical objects picked up by the autonomous robot device and to pick up a replacement physical object.