Autonomous Item-Carrying Robot With Mapping and Path Planning

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Solution Overview

Problem

Current mobile robotic devices lack the capability to autonomously carry and transport items efficiently and effectively within various environments, such as homes and commercial spaces, without human intervention, limiting their utility and convenience.

Innovation Solution

An autonomous mobile robotic device equipped with a chassis, wheels, sensors, a processor, and a machine-readable medium that captures environmental data, generates maps, infers its location, and actuates movement to transport items from one location to another, including the use of scheduling and path planning modules, and can be configured to carry a variety of items and perform tasks based on user instructions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If mobile robotic devices are used to perform specific tasks, then convenience is provided, but the capability to autonomously carry and transport items is limited

Engineering Contradiction:
Improvecapability to autonomously carry and transport itemsVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The robotic device is designed with a universal platform that can perform multiple functions including vacuuming, mopping, carrying items, and transporting objects. The device includes a载物平台 (item carrying platform) and various attachment mechanisms that enable it to adapt to different tasks and transport different types of items, thereby improving versatility without requiring separate specialized devices for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Extent of automation

If autonomous transportation capability is added to robotic devices, then utility and convenience are improved, but the extent of automation required increases system complexity

Engineering Contradiction:
Improveautonomous transportation capabilityVSAvoidsystem complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The robotic device incorporates self-navigation and autonomous transportation capabilities through integrated sensors, processors, and control systems. The device can independently plan paths, avoid obstacles, and transport items from one location to another without continuous human intervention. The system includes automatic charging capabilities and self-diagnostic functions that reduce the need for manual operation and maintenance.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If the robotic device is designed to carry various items, then versatility is improved, but the device complexity increases

Engineering Contradiction:
Improveability to carry variety of itemsVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The robotic device employs a modular design where the item carrying platform is a separate, detachable component that can be easily attached and detached from the main body. This segmentation allows the device to carry different types of items using standardized platforms while keeping the core robotic system relatively simple. The modular approach enables versatility without permanently increasing the complexity of the base device.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11960279B1Autonomous signal boosting robotic device
Publication Date: 2024.04.16 AI INC
  • US11960279B1 patent drawing
  • US11960279B1 patent drawing
  • US11960279B1 patent drawing

AI summary

A robot for transporting items, including: a chassis; a cavity within which items are stored for transportation; a set of wheels coupled to the chassis; a control system to actuate movement of the set of wheels; a power supply; at least one sensor; a processor electronically coupled to the control system and the at least one sensor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with the at least one sensor, data of an environment and data indicative of movement of the robot; generating or updating, with the processor, a map of the environment based on at least a portion of the captured data; inferring, with the processor, a current location of the robot; and actuating, with the processor, the robot to execute a transportation task.