Robot SLAM Path Planning for Fast Coverage Mapping

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Solution Overview

Problem

Autonomous robots face challenges in efficiently navigating and mapping environments with minimal redundant coverage, as traditional SLAM techniques require extensive time and perimeter tracing, which is not ideal for service-oriented tasks like robotic vacuums.

Innovation Solution

The implementation of a Light Weight Real Time SLAM Navigational Stack that reduces computational burden, allowing for faster mapping and navigation, and the use of a processor that adjusts paths in real-time to include detours around objects, with sensors determining optimal overlap and coverage statistics for efficient area coverage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional SLAM techniques are used for mapping and navigation, then complete environmental maps can be generated, but navigation time and computational resources are excessively consumed

Engineering Contradiction:
Improvemapping accuracyVSAvoidnavigation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts and removes the perimeter tracing step from traditional SLAM techniques, allowing robots to perform area coverage tasks without completing full perimeter mapping first. This selective extraction of necessary functions reduces navigation time while maintaining sufficient mapping accuracy for service tasks.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent implements partial SLAM by performing only the essential mapping and navigation functions needed for area coverage, rather than completing exhaustive perimeter tracing. This partial action approach provides sufficient mapping accuracy for service-oriented tasks while significantly reducing computational burden and navigation time.

Inventive Principle:
Principle #16Partial or excessive action

2Reliability

If traditional SLAM techniques with perimeter tracing are used, then complete environmental understanding is achieved, but battery consumption increases

Engineering Contradiction:
Improveenvironmental mapping reliabilityVSAvoidbattery consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent removes the computationally intensive perimeter tracing component from traditional SLAM, retaining only the essential area coverage mapping functions. This extraction maintains sufficient environmental understanding for service tasks while reducing battery consumption by eliminating redundant computational operations.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs partial SLAM by executing only the minimum necessary mapping operations for area coverage tasks, avoiding excessive perimeter tracing. This approach maintains adequate environmental mapping reliability for service-oriented applications while significantly reducing energy consumption.

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If extensive perimeter tracing is performed before area coverage, then complete boundary detection is achieved, but task execution time is delayed

Engineering Contradiction:
Improveboundary detection accuracyVSAvoidtask execution speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent performs preliminary boundary detection during the area coverage process itself, rather than requiring complete perimeter tracing before task execution. This preliminary action approach detects boundaries on-the-fly, maintaining adequate boundary detection accuracy while enabling immediate task execution without delays.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements partial boundary detection by identifying sufficient boundaries during area coverage operations, rather than performing exhaustive perimeter tracing beforehand. This provides adequate boundary detection for navigation while significantly improving task execution speed by eliminating preparatory delays.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11468588B1Method for estimating distance using point measurement and color depth
Publication Date: 2022.10.11 AI INC
  • US11468588B1 patent drawing
  • US11468588B1 patent drawing
  • US11468588B1 patent drawing

AI summary

A media storing instructions that when executed by a processor of a robot effectuates operations including detecting an object in a line of sight of at least one sensor; adjusting a current path of the robot to include a detour path around the object, instructing the robot to resume along the current path after avoiding the object, discounting areas of overlap from a total area covered based on at least some data collected by sensors, inferring previously visited areas and unvisited areas, generating a planar representation of a workspace of the robot by stitching data collected by at least some sensors of the robot at overlapping points, and transmitting the planar representation and coverage statistics to an application of a communication device configured to display the information.