Mobile Robot Sensor Cleaning Station with Automated Wipers

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Solution Overview

Problem

The accumulation of dust and debris on sensors of mobile robots leads to inaccurate data and unreliable navigation, making manual cleaning labor-intensive and impractical, especially in large-scale systems like inventory warehouses.

Innovation Solution

The implementation of sensor cleaning stations equipped with cleaning mechanisms such as mechanical wipers, liquid dispensers, fans, and ultrasonic cleaners that can simultaneously clean sensors and charge mobile robot batteries, allowing robots to autonomously navigate for cleaning based on parameters like sensor quality and scheduled maintenance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual cleaning is used to remove dust and debris from sensors, then sensor cleanliness is improved, but labor intensity and time consumption increase significantly

Engineering Contradiction:
Improvesensor data accuracyVSAvoidcleaning time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service cleaning through automated cleaning stations that mobile robots autonomously navigate to. The cleaning mechanisms (wipers, liquid dispensers, fans, ultrasonic cleaners) automatically remove dust and debris from sensors without human intervention, allowing robots to clean themselves during scheduled maintenance or when sensor quality drops below thresholds.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical cleaning is replaced with automated cleaning mechanisms including mechanical wipers, liquid dispensers, fans, and ultrasonic cleaners. These automated systems use mechanical, fluid, aerodynamic, and ultrasonic forces to clean sensors, eliminating the need for manual labor while improving cleaning efficiency and consistency.

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

2Reliability

If manual cleaning is performed on each mobile robot in a large-scale system, then sensor reliability is improved, but productivity and operational efficiency decrease

Engineering Contradiction:
Improvenavigation reliabilityVSAvoidsystem throughput
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

Each mobile robot autonomously navigates to cleaning stations when needed, determining its own cleaning requirements based on sensor quality metrics or scheduled maintenance intervals. This self-service approach eliminates the need for centralized manual cleaning operations, allowing robots to maintain sensor reliability independently without disrupting system productivity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The cleaning system operates dynamically based on robot needs rather than following a fixed manual schedule. Robots navigate to cleaning stations based on real-time sensor quality assessment or pre-set maintenance intervals, allowing the system to adapt cleaning frequency to actual operational requirements and maintain high productivity.

Inventive Principle:
Principle #15Dynamics

3Reliability

If mobile robots stop for sensor cleaning, then sensor quality is improved, but idle time increases and operational duration decreases

Engineering Contradiction:
Improvesensor data qualityVSAvoidoperational duration
Core Design Contradiction:
ReliabilityVSDuration of action of moving object

Solution Approach 1:

The system performs preliminary cleaning actions based on predicted needs rather than waiting for sensor failure. Robots navigate to cleaning stations proactively based on scheduled maintenance intervals or when sensor quality metrics indicate degradation, preventing navigation issues before they occur and minimizing disruption to operational duration.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The cleaning station combines multiple functions including sensor cleaning and battery charging into a single integrated operation. When robots navigate to cleaning stations, they simultaneously perform sensor maintenance and energy replenishment, converting what would be idle cleaning time into productive dual-function operations that extend operational duration.

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution reduces idle time for mobile robots by enabling efficient and automated sensor cleaning and battery charging, ensuring reliable navigation and extending the operational duration of mobile robots in inventory warehouses.

Implementation Method 1

cleaning mechanisms (or 'cleaners')

Methodology Applied
Scientific EffectMechanical friction: Friction

Implementation Method 2

liquid dispensers

Methodology Applied
Scientific EffectLiquid dissolution: Solvation

Implementation Method 3

fans

Methodology Applied
Scientific EffectAir flow: Convection

Implementation Method 4

ultrasonic cleaners

Methodology Applied
Scientific EffectUltrasonic vibration: Ultrasonic Vibration

Data Source

PatentUS10642277B2Cleaning station for mobile robots
Publication Date: 2020.05.05 SKILD-FETCH LLC
  • US10642277B2 patent drawing
  • US10642277B2 patent drawing
  • US10642277B2 patent drawing

AI summary

A station uses cleaning mechanisms to clean sensors of mobile robots. The mobile robots may use data from the sensors to navigate around an environment such as an inventory warehouse. A sensor of a mobile robot can become dirty over time as dust or other debris accumulates on the sensor. Since the mobile robots can navigate to a station for automatic sensor cleaning, a human does not need to manually clean the sensors. Multiple mobile robots may share one or more stations in the environment and coordinate a schedule to have their sensors cleaned. The stations may also charge a battery of a mobile robot simultaneously while cleaning the mobile robot's sensors.