Autonomous Carriage Path Control Based on User Intentions

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Pushing strollers or wheelchairs in crowded environments like amusement parks or malls is cumbersome and inefficient due to the complexity of navigating through dense pedestrian areas with multiple strollers and wheelchairs, posing a challenge for caregivers.

Innovation Solution

A computer-implemented method and system for controlling an autonomous carriage that analyzes user intentions and scene data to determine optimal travel paths, allowing the carriage to autonomously navigate and follow the user while maintaining proximity, using sensors and neural networks to learn user preferences and environmental classifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual navigation of strollers or wheelchairs is used in crowded environments, then caregivers can directly control the movement, but the operation becomes cumbersome and inefficient due to dense pedestrian areas and multiple obstacles

Engineering Contradiction:
Improveease of navigationVSAvoidnavigation efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The carriage system performs self-navigation by autonomously detecting obstacles, determining travel paths, and controlling its own movement through crowded environments using sensors, processors, and automated path-planning algorithms, eliminating the need for manual steering while maintaining operational efficiency

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The manual mechanical control system is replaced with an automated electronic control system that uses sensors to detect the environment, processors to analyze data and determine intentions, and automated actuators to execute movement, substituting human physical effort with electronic and mechanical automation

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

2Productivity

If autonomous navigation is implemented using sensors and neural networks, then the carriage can navigate crowded areas efficiently, but the device complexity increases due to multiple sensors and processing systems

Engineering Contradiction:
Improvenavigation efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The processor serves multiple functions by both analyzing sensor data to detect obstacles and determining user intentions, as well as controlling the carriage's movement and navigation, consolidating multiple functions into a single processing unit to manage system complexity

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

Solution Approach 2:

The system merges the obstacle detection function, user intention analysis, and path planning into an integrated autonomous navigation system where sensors, processors, and control mechanisms work as a unified system rather than separate components

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11449065B2System and method for controlling an autonomous carriage based on user intentions
Publication Date: 2022.09.20 HONDA MOTOR CO LTD
  • US11449065B2 patent drawing
  • US11449065B2 patent drawing
  • US11449065B2 patent drawing

AI summary

A system and method for controlling an autonomous carriage based on user intentions that include receiving data associated with a user that uses the autonomous carriage to transport at least one occupant. The system and method also include analyzing the data associated with the user to determine at least one intention of the user and analyzing a scene associated with a current point of interest location of the autonomous carriage. The system and method further include determining at least one travel path to be followed by the autonomous carriage during autonomous operation that is based on the at least one intention of the user and the scene associated with the current point of interest of the autonomous carriage.