Portable AI Personal Assistant With 3D Spatial Navigation

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Solution Overview

Problem

Existing personal assistant devices lack comprehensive support for users with sensory impairments, particularly in navigating dynamic environments and providing hands-free operation, spatial awareness, and contextually relevant assistance, limiting their accessibility and usability.

Innovation Solution

A personal assistant system equipped with a 3D camera, propulsion system, and advanced AI capabilities for real-time sensory integration and interaction, including a control system with audio and image recognition modules, enabling enhanced navigation and interaction in diverse environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a personal assistant device uses basic voice recognition and audio output, then the device can process and respond to user commands, but the device lacks spatial awareness and cannot provide contextually relevant assistance in dynamic environments

Engineering Contradiction:
Improvecontextually relevant assistanceVSAvoidspatial awareness capability
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent transitions from two-dimensional image processing to three-dimensional spatial understanding by incorporating depth information from multiple cameras. The system processes 3D data from depth sensors and multiple image sources to create a comprehensive spatial model of the environment, enabling contextually relevant assistance that accounts for depth, distance, and spatial relationships between objects and the user.

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

2Measurement precision

If a personal assistant device incorporates basic camera functionalities for two-dimensional image capture, then the device can perform rudimentary image recognition, but the device cannot perceive depth or navigate through three-dimensional space

Engineering Contradiction:
Improvedepth perceptionVSAvoidthree-dimensional navigation capability
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges multiple camera systems with depth sensing capabilities into an integrated imaging subsystem. By combining data from multiple cameras at different positions and depths, along with active depth sensors, the system creates a unified three-dimensional representation of the environment, enabling both depth perception and autonomous navigation through complex spatial environments.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system adds the dimension of depth perception by incorporating depth sensors and multiple camera layers. This transforms the basic two-dimensional image recognition into three-dimensional spatial understanding, allowing the device to perceive depth, distance, and spatial relationships necessary for autonomous navigation.

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

3Ease of operation

If a mobile personal assistant device uses pre-programmed paths for navigation, then the device can move through environments, but the device lacks sophisticated audio and visual processing for complex user commands

Engineering Contradiction:
Improvehands-free operationVSAvoidaudio and visual processing capability
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces pre-programmed mechanical navigation with sophisticated sensor-based processing. Instead of relying on fixed paths, the system uses advanced audio recognition from multiple microphones and visual processing from multiple cameras to interpret complex user commands in real-time, enabling flexible hands-free operation in dynamic environments.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary processing layer between the user and the navigation system. Multiple microphones and cameras act as intermediaries that capture and process user commands and environmental context, allowing the navigation system to respond to complex, context-dependent user requests rather than following fixed pre-programmed paths.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Productivity

If a personal assistant device provides hands-free operation, then the device can assist users during multitasking activities, but the device lacks comprehensive support for users with sensory impairments

Engineering Contradiction:
Improvemultitasking capabilityVSAvoidaccessibility for sensory impairments
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal interface that serves multiple functions including hands-free operation for productivity and specialized assistive features for users with sensory impairments. The same multi-camera and audio system supports both general multitasking commands and specialized functions such as real-time captioning for hearing impairment, visual alerting for vision impairment, and tactile feedback through vibrations, making the device accessible to diverse users with different abilities.

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

Data Source

PatentUS20250252754A1Portable personal assistant system and method for sensory data storage, manipulation, and exchange
Publication Date: 2025.08.07 RAVLYUK OLHA
  • US20250252754A1 patent drawing
  • US20250252754A1 patent drawing
  • US20250252754A1 patent drawing

AI summary

Ways to facilitate multimodal interaction and communication for users are provided. A personal assistant system for a user includes a portable device equipped with a three-dimensional (3D) camera for generating images of 3D space and a propulsion system for self-propulsion. The personal assistant system also comprises a speaker, a microphone, and a control system interfacing with these components. The control system features a navigation module for controlling the propulsion system, an audio recognition module for converting audio from the microphone, and an image recognition module for processing images from the 3D camera. A processor transforms these formats into a processor-output, while an artificial intelligence (AI) module analyzes the formats to identify actionable commands and convert them into processor-output. An output generating module then converts the processor-output into a user-friendly output. Use of the personal assistant system enhances user convenience, accessibility, and engagement in educational, professional, and personal pursuits.