Sensory Drone Swarms for Hazard-Aware Assisted Navigation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current technologies lack effective solutions for providing comprehensive sensory augmentation for individuals with vision, hearing, or mobility impairments, as existing drones are not designed to offer integrated sensory environments or remote sensing capabilities that can assist users in navigating complex environments safely and efficiently.

Innovation Solution

The development of personal sensory drones that can operate autonomously or in swarms, equipped with various sensors and communication systems, to provide users with integrated sensory feeds, including video, audio, tactile, and olfactory data, allowing for enhanced navigation and inspection tasks through coordinated flight paths and sensor data sharing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple independent unmanned vehicles are used to provide comprehensive sensory coverage, then the sensory augmentation capability is improved, but the device complexity and cost increase

Engineering Contradiction:
Improvesensory augmentation capabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system divides the sensory augmentation function into multiple independent drone units, each equipped with specific sensors (cameras, microphones, gas sensors). This segmentation allows the system to provide comprehensive sensory coverage through coordinated operation of multiple specialized units rather than one complex monolithic system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Multiple drone units are merged into a coordinated swarm system that shares sensor data and computational resources. The drones operate collectively to provide integrated sensory feeds, combining their individual capabilities to achieve comprehensive environmental awareness while distributing system complexity across multiple simple units.

Inventive Principle:
Principle #5Merging (Combining)

2Reliability

If drones operate autonomously in swarms to provide real-time sensory feeds, then the navigation safety and situational awareness are improved, but the communication requirements and energy consumption increase

Engineering Contradiction:
Improvenavigation safetyVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

Drones perform preliminary sensing and hazard detection before the user reaches potentially dangerous areas. The system proactively identifies obstacles, hazards, and route optimizations in advance, allowing users to navigate safely without requiring continuous high-energy real-time processing of all sensory data.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary processing system that aggregates and processes sensor data from multiple drones, then presents simplified hazard alerts and route information to the user. This intermediary layer reduces the communication and energy burden on individual drones while maintaining high navigation safety through coordinated swarm intelligence.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP3786753B1Personal sensory drones
Publication Date: 2023.06.07 INTEL CORP
  • EP3786753B1 patent drawingFigure 1
  • EP3786753B1 patent drawingFigure 2
  • EP3786753B1 patent drawingFigure 3

AI summary

Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.