Autonomous Mobile Robot Navigation for Item Transport and Obstacle Adaptation
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Solution Overview
Problem
Existing mobile robotic devices lack the capability to autonomously carry and transport items efficiently within environments, such as consumer homes and commercial spaces, without human intervention.
Innovation Solution
A mobile robotic device equipped with a chassis, wheels, motor, suspension system, rechargeable battery, control system, processor, and sensors, along with modules for mapping, localization, scheduling, and path planning, enabling it to autonomously transport items by learning optimal routes and adapting to environmental obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile robotic devices are designed to autonomously transport items, then convenience and efficiency are improved, but device complexity increases
Solution Approach 1:
The robotic device is designed with multi-functionality to perform various tasks including vacuuming, mopping, mowing, and transporting different types of items (refuse containers, home assistants, speakers, laptops, etc.). This universal design allows a single complex device to replace multiple simpler devices, justifying the increased complexity through enhanced versatility and ease of operation.
Solution Approach 2:
The device incorporates autonomous navigation capabilities with mapping modules, localization modules, and path planning algorithms that enable it to transport items without human intervention. The self-service特性 is further enhanced by automatic recharge functionality when battery power is low, reducing the need for manual operation and maintenance.
2Productivity
If the robotic device navigates autonomously through environments, then productivity is improved, but reliability may deteriorate due to obstacles and environmental variations
Solution Approach 1:
The device performs preliminary mapping of the environment before actual item transportation tasks. The mapping module creates a digital representation of the space, identifying potential obstacles and optimal pathways in advance. This preliminary action enables the path planning module to navigate more reliably by anticipating environmental challenges before encountering them during transportation operations.
Solution Approach 2:
The robotic device employs sensors and localization modules that continuously monitor the environment and the device's position during navigation. This real-time feedback allows the control system to adjust the navigation path dynamically, avoiding obstacles and adapting to environmental changes, thereby maintaining high productivity while improving navigation reliability through continuous correction.
Data Source
AI summary
An autonomous mobile robotic device that may carry and transport one or more items within an environment. The robotic device may comprise a container within which the one or more items may be stored. The robotic device may pick up and deliver the one or more items to one or more locations. The robotic device may be provided with scheduling information for task execution or pickup and delivery of one or more items. Once tasks are complete, the robotic device may autonomously navigate to a storage location.