Published Technical Disclosure Archive

Intelligent Robotic Floor Cleaning System with Synergistic Technologies

Publication ID: 24-11857129_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Robotic Floor Cleaning System with Synergistic Technologies,” Published Technical Disclosure No. 24-11857129_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857129_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,129.

Summary of the Inventive Concept

The present inventive concept integrates a controlled liquid releasing mechanism with AI, IoT, blockchain, and novel nanomaterials to create a more efficient, adaptive, and sustainable robotic floor cleaning system.

Background and Problem Solved

The original patent addressed the limitation of traditional robotic floor cleaning devices by introducing a controlled liquid releasing mechanism. However, these devices still face challenges in optimizing liquid release, adapting to diverse floor surfaces, and ensuring efficient maintenance. The new inventive concept solves these problems by synergistically combining the patented mechanism with advanced technologies.

Detailed Description of the Inventive Concept

The system consists of a robotic floor cleaning device featuring a controlled liquid releasing mechanism, which is integrated with an AI-based navigation system to optimize liquid release based on surface type and cleaning requirements. The device is connected to an IoT-based sensor network to receive real-time data on floor surface conditions, adjusting the release of liquid accordingly. Additionally, a blockchain-based data storage system tracks and analyzes cleaning patterns to improve efficiency. The liquid reservoir is made of a novel nanomaterial, increasing storage capacity and reducing waste. A machine learning-based predictive maintenance system detects and prevents potential issues with the device.

Novelty and Inventive Step

The new claims introduce the synergistic integration of AI, IoT, blockchain, and novel nanomaterials with the controlled liquid releasing mechanism, providing a non-obvious and novel solution to the limitations of traditional robotic floor cleaning devices.

Alternative Embodiments and Variations

Alternative embodiments could include integrating the controlled liquid releasing mechanism with computer vision, natural language processing, or other advanced technologies. Variations could involve adapting the system for different types of floor surfaces, such as carpets or hardwood, or for use in various industries, such as healthcare or hospitality.

Potential Commercial Applications and Market

The intelligent robotic floor cleaning system has significant commercial potential in the cleaning services industry, as well as in various sectors such as healthcare, hospitality, and retail. The system's adaptability, efficiency, and sustainability make it an attractive solution for businesses seeking to reduce costs and environmental impact.

CPC Classifications

SectionClassGroup
A A47 A47L11/125
A A47 A47L11/4011
A A47 A47L11/4036
A A47 A47L11/4066
A A47 A47L11/4083
A A47 A47L11/28
A A47 A47L2201/04

Field of Art

Robotic cleaning systems, specifically floor cleaning devices with automated liquid dispensing mechanisms, requiring expertise in robotics, mechanical engineering, fluid dynamics, and control systems

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with a bachelor's or master's degree in mechanical engineering or robotics, familiar with automated liquid dispensing systems, sensor integration, and robotic navigation technologies

Obviousness Rationale

A person having ordinary skill would recognize that integrating AI, IoT, and machine learning with existing robotic floor cleaning mechanisms represents predictable technological advancement. The source patent's controlled liquid release mechanism provides a foundational framework that a skilled practitioner would naturally extend through known technological integration techniques. The proposed variations represent incremental improvements using standard engineering approaches to enhance existing robotic cleaning technologies.

Obvious Combinations & Variations

Source Patent Element
Rotatable cylinder with liquid-holding apertures controlled by device motion
PTD Variation
AI-based navigation system optimizing liquid release based on surface type
Obviousness Reasoning
A PHOSITA would recognize that adapting liquid release to surface conditions is a predictable optimization using known machine learning techniques for sensor-driven control
Source Patent Element
Liquid reservoir with controlled release mechanism
PTD Variation
Nanomaterial-enhanced reservoir improving storage capacity and waste reduction
Obviousness Reasoning
Material science improvements to storage systems represent a standard engineering approach with predictable performance enhancement goals
Source Patent Element
Robotic floor cleaning device with motion-controlled liquid dispensing
PTD Variation
IoT sensor network providing real-time floor condition data to adjust liquid release
Obviousness Reasoning
Integrating sensor networks with existing robotic systems is a well-established technique for improving adaptive performance in automated devices
Source Patent Element
Mechanical liquid release control based on wheel rotation
PTD Variation
Blockchain-based data tracking for analyzing and improving cleaning patterns
Obviousness Reasoning
Using data collection and analysis technologies to optimize mechanical systems represents a standard engineering approach with predictable systematic improvements
Source Patent Element
Robotic cleaning device with liquid dispensing mechanism
PTD Variation
Machine learning predictive maintenance system for detecting potential device issues
Obviousness Reasoning
Implementing predictive maintenance through machine learning is a known technique for improving reliability in automated mechanical systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857129 and the disclosed technological variations, a person having ordinary skill in the art would find the proposed robotic floor cleaning system improvements obvious and lacking inventive step. The incremental technological integrations represent predictable extensions of existing robotic cleaning device technologies, thereby rendering potential claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,129
TitleRobotic floor cleaning device with controlled liquid release mechanism
Assignee(s)AI Incorporated