Intelligent Wheelchair Navigation With Mapping and Route Planning
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Solution Overview
Problem
Existing intelligent wheelchair systems lack the ability to autonomously navigate and update maps, plan routes, and adapt to complex environments, limiting their functionality and user assistance.
Innovation Solution
A system comprising a processor, memory, and sensors that communicate with a movement module and gimbal to build maps, plan routes, and generate control parameters, utilizing APIs for communication and integrating various sensors like cameras and Lidars for environmental data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing intelligent wheelchair systems are used, then basic mobility function is provided, but autonomous navigation and map updating capability is lacking
Solution Approach 1:
The wheelchair system integrates multiple functions including autonomous navigation, map building, route planning, and environmental adaptation into a single platform. The processor executes comprehensive algorithms that enable the wheelchair to perform diverse tasks such as navigating unknown environments, constructing maps, planning routes, and adapting to complex terrains, thereby achieving multi-functionality that resolves the contradiction between automation extent and environmental adaptability.
2Adaptability or versatility
If robot systems with multifunction are implemented, then service capability is improved, but system complexity increases
Solution Approach 1:
The wheelchair system divides complex functions into distinct modular components: sensor modules for data collection, processing modules for algorithm execution, control modules for actuation, and communication modules for data exchange. Each module performs a specific function (e.g., obstacle detection, path planning, motor control), allowing the system to achieve multifunctionality while managing complexity through modular architecture that facilitates independent development, testing, and maintenance of each component.
3Measurement precision
If sensors and communication modules are integrated, then environmental perception is enhanced, but device complexity increases
Solution Approach 1:
The system merges multiple sensors (cameras, LIDAR, ultrasonic sensors, infrared sensors) and communication modules into an integrated sensing and communication system. These components are physically and functionally combined to share common processing resources, power supply, and data buses. The integration enables comprehensive environmental perception through multi-sensor fusion while reducing overall system complexity by eliminating redundant components and simplifying the system architecture through unified control and processing mechanisms.
Data Source
AI summary
The present disclosure includes a system and a method for controlling a robot. The system may include a processor that performs the operations including receiving information, building a map, planning a route and generating control parameters; a movement module that executes control parameters to move around and hold sensors for sensing information; and a gimbal for holding sensors to sense information.