Autonomous Utility Cart Platform for Low-Cost Manual Conversion
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Solution Overview
Problem
Conventional autonomous mobile robots are complex and expensive, with integral designs that cannot be converted from manual to autonomous modes, and they rely on costly wireless communication systems that can be disrupted by dead zones.
Innovation Solution
A robotic cart platform that integrates into conventional utility carts, providing both manual and autonomous modes of operation, with a drive unit, navigation and movement system, and sensors that allow independent operation without external wireless communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional autonomous mobile robots are designed with integral autonomous navigation structures, then automation capability is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent divides the autonomous navigation system into separate modular components (sensors, processors, controllers) that can be attached to or integrated with existing manual carts. This segmentation allows businesses to add autonomy incrementally without redesigning the entire cart system, resolving the contradiction between automation capability and structural complexity.
Solution Approach 2:
The autonomous navigation structures are designed to be universal and adaptable to multiple cart types and configurations. The system can function with various sensor arrangements and communication protocols, allowing a single autonomous system design to work across different manual cart platforms, thereby reducing overall system complexity while maintaining automation.
2Ease of operation
If conventional autonomous mobile robots rely on wireless communication systems, then remote control capability is improved, but reliability deteriorates due to dead zones
Solution Approach 1:
The patent introduces alternative communication intermediaries such as wired connections, magnetic field communication, or visual signaling systems that can operate independently of or in conjunction with wireless systems. These intermediary communication methods ensure continuous operation in dead zones where wireless signals fail, resolving the reliability issue while preserving remote control capability.
Solution Approach 2:
The system incorporates backup communication protocols and redundant signaling methods that are activated beforehand when wireless communication fails. This prior cushioning approach ensures that the cart can maintain autonomous operation or receive control signals even when primary wireless communication is disrupted by dead zones.
3Adaptability or versatility
If autonomous navigation components are integrated into manual carts, then conversion to autonomous mode is achieved, but sensor placement and wiring complexity increase
Solution Approach 1:
The navigation system is segmented into independently mountable sensor units and modular wiring harnesses that can be attached to standard cart locations. This segmentation allows sensors to be placed on existing cart structures without complex custom wiring, as each module can be independently installed and connected, reducing overall installation complexity while enabling conversion capability.
4Ease of manufacture
If cost-effective conversion from manual to autonomous carts is implemented, then accessibility to autonomous technology is improved, but navigation structure reliability may deteriorate
Solution Approach 1:
The autonomous system incorporates self-diagnostic and self-calibration capabilities that allow the cart to monitor its own navigation components and automatically adjust for minor errors. This self-service approach maintains high reliability without requiring expensive redundant hardware, enabling cost-effective conversion while preserving navigation accuracy and system reliability.
Data Source
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AI summary
A robotic cart platform with a navigation and movement system that integrates into a conventional utility cart to provide both manual and autonomous modes of operation. The platform includes a drive unit with drive wheels replacing the front wheels of the cart. The drive unit has motors, encoders, a processor and a microcontroller. The system has a work environment mapping sensor and a cabled array of proximity and weight sensors, lights, control panel, battery and on/off, "GO" and emergency stop buttons secured throughout the cart. The encoders obtain drive shaft rotation data that the microcontroller periodically sends to the processor.