User-Guiding Mobile Object Path Control for Sudden Direction Changes
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Solution Overview
Problem
Autonomous mobile objects face challenges in tracking users who deviate from predicted paths, leading to potential loss of sight due to obstacles or sudden changes in direction, making it difficult to modify their paths accordingly and re-authenticate the user.
Innovation Solution
A mobile object equipped with sensors to detect target objects and users, a path generation unit to predict and adjust paths based on user movement, and a travel control unit to navigate accordingly, allowing for real-time path modifications and re-authentication when the user is lost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the mobile object follows a predicted path based on initial user movement, then the mobile object can efficiently guide the user to a destination, but the mobile object may lose sight of the user when the user suddenly changes direction
Solution Approach 1:
The system continuously monitors user movement and provides feedback to the path generation unit. When the user's actual movement deviates from the predicted path, the system detects this deviation and regenerates the path in real-time, ensuring the mobile object maintains accurate tracking of the user's current position and direction.
Solution Approach 2:
The path generation unit dynamically adjusts the mobile object's path based on real-time user movement data. Instead of following a static predicted path, the system continuously regenerates paths that adapt to the user's current position and moving direction, making the tracking system flexible and responsive to sudden direction changes.
2Adaptability or versatility
If the mobile object maintains a fixed path, then the control system is simple and stable, but the mobile object cannot adapt when the user deviates from the predicted path
Solution Approach 1:
The system performs preliminary path generation based on predicted user movement before the user actually changes direction. By anticipating potential path deviations and preparing adaptive path options in advance, the system reduces the complexity of real-time decision-making while maintaining high adaptability to user behavior changes.
3Measurement precision
If the mobile object uses basic sensor detection, then the device complexity is low, but the system cannot accurately detect user path changes behind obstacles
Solution Approach 1:
The first sensor unit is designed with multi-functionality, serving both as a detection device for user position and as a trigger for path regeneration. When the sensor detects that the user has moved behind an obstacle or deviated from the predicted path, it automatically initiates path regeneration without requiring additional specialized sensors, thus maintaining low device complexity while achieving high measurement precision.
Data Source
AI summary
A mobile object including a first sensor configured to detect a target object in surroundings, recognizes and sets a user; acquires a predicted path indicating a future path of the user that has been set, based on a movement of the user and an output from the first sensor, and generates a path of the mobile object to lead the user on a forward side of the user, based on the predicted path; and causes the mobile object to travel in accordance with the path that has been generated, and upon detection of a change in a moving direction of the user, based on the output from the first sensor, modifies the generated path to cause the mobile object to move to the forward side of the user in accordance with the moving direction that has been changed.