AI Service Robot Platform for Unified Room Automation

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Solution Overview

Problem

Existing home, office, and industrial automation systems are cumbersome and inefficient, requiring multiple devices with separate installations, power supplies, and control systems, leading to clutter, high maintenance costs, and energy wastage.

Innovation Solution

A unified platform that integrates multiple devices, such as lighting, fragrance dispensers, sound systems, and sensors, into a single system with a logical controller and AI expert system, allowing for autonomous adaptation to user needs and environment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple separate devices are used for automation functions, then device functionality and versatility are improved, but device complexity and installation difficulty increase

Engineering Contradiction:
Improvedevice functionalityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines multiple separate automation devices (lighting control, fragrance dispensing, sound systems, sensors) into a single integrated platform mounted on the ceiling. This unified system shares common infrastructure including power supply, control logic, and physical mounting, thereby reducing installation complexity while maintaining diverse functionality across different device categories.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The integrated platform performs multiple functions simultaneously - it controls lighting, dispenses fragrance, manages sound systems, and processes sensor data all through a single control system. This multi-functional approach allows one device to replace what would traditionally require several separate devices, reducing overall system complexity while enhancing versatility.

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

2Reliability

If multiple separate devices with individual power supplies are installed, then device independence and reliability are improved, but energy consumption and maintenance costs increase

Engineering Contradiction:
Improvedevice independenceVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system consolidates multiple individual power supplies into a single shared power infrastructure. The integrated platform distributes power efficiently to all functional modules (lighting, fragrance, sound, sensors) through common power lines, reducing total energy consumption compared to separate devices while maintaining reliable operation through centralized power management.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

A single power supply unit serves multiple functions by powering the entire integrated platform including all its subsystems. This universal power source reduces energy waste that would occur with multiple separate power supplies, while the system maintains reliability through intelligent power distribution and management across all device functions.

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

3Adaptability or versatility

If separate control systems are used for each device, then device autonomy and adaptability are improved, but control complexity and maintenance requirements increase

Engineering Contradiction:
Improvedevice autonomyVSAvoidcontrol complexity
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent implements a single integrated control system that manages all device functions (lighting, fragrance, sound, sensors) through unified control logic. This centralized approach simplifies operation and maintenance compared to multiple separate control systems, while the system maintains adaptability through programmable control that can respond to sensor inputs and user preferences across all functions.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The control system performs multiple roles simultaneously - it processes sensor data, controls lighting, manages fragrance dispensing, and coordinates sound systems all through one intelligent controller. This universal control approach reduces operational complexity while maintaining device autonomy through programmable responses and adaptive behavior across all controlled functions.

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

4Productivity

If devices are distributed throughout the space, then service coverage and effectiveness are improved, but installation complexity and maintenance costs increase

Engineering Contradiction:
Improveservice coverageVSAvoidmaintenance costs
Core Design Contradiction:
ProductivityVSEase of repair

Solution Approach 1:

The system transitions from horizontal distribution of multiple devices throughout the space to a vertical integration approach, mounting a single multi-functional platform on the ceiling. This dimensional shift maintains comprehensive service coverage through the platform's ability to project light, disperse fragrance, and distribute sound throughout the room, while dramatically simplifying installation and maintenance by consolidating all components into one accessible location.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20250045607A1Artificial-Intelligence Services Providing Robot
Publication Date: 2025.02.06 SPERO YECHEZKAL EVAN
  • US20250045607A1 patent drawing
  • US20250045607A1 patent drawing
  • US20250045607A1 patent drawing

AI summary

An artificial-intelligence, personalized-service robot used in living and working spaces is presented. The robot, equipped with sensors, appliances, and devices and an inference engine is capable of automatically providing room residents with services tailored to their “learned” individual preferences. Using multiple sensors to obtain information regarding the room environment and persons therein, the AI computer processes algorithms for operation and a knowledge base for making decisions to automatically detect the needs of room residents. These needs include illumination, thermal comfort, security, wellness, and safety. Within the course of providing these services, the computer senses the efficacy of the service including reactions by room residents. Using the computer's machine learning algorithms, this user reaction serves as supervised learning for updating the knowledge base and improving future service. As the computer “learns” the personal preferences of each identified room resident, the knowledge base is updated, and quality of service continues to improve.