Mobile Robot Stop Position Control for Pedestrian Visibility
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Solution Overview
Problem
Existing robot control systems fail to adequately consider the stop position of mobile objects in dynamic environments, particularly in areas where pedestrians and vehicles coexist.
Innovation Solution
A control system that uses processors to detect objects around a mobile object, recognize traffic participants, and determine a stop position based on environmental factors, ensuring the mobile object is within the visual field range of the traffic participant when they pass by each other.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile object stops at any position, then the control system is simple, but the mobile object may not be recognized by traffic participants leading to safety issues
Solution Approach 1:
The control system performs preliminary actions by detecting objects around the mobile object, recognizing traffic participants, and determining appropriate stop positions before the mobile object actually stops. This advance planning ensures safety by positioning the mobile object within visual field ranges of traffic participants before the stopping event occurs.
Solution Approach 2:
The control system uses feedback mechanisms by continuously detecting objects around the mobile object, recognizing traffic participants based on detection results, and adjusting stop position decisions based on visual field range calculations. This closed-loop approach improves safety while maintaining reasonable control system complexity.
2Reliability
If the mobile object stops to allow traffic participants to pass, then safety improves, but the mobile object cannot reach its destination efficiently
Solution Approach 1:
The control system applies dynamics by evaluating multiple stop position candidates and selecting the most appropriate one based on real-time conditions. It dynamically determines whether stopping is necessary by assessing if the mobile object is within the visual field range of traffic participants, allowing efficient movement when safe and ensuring safety when necessary.
Solution Approach 2:
The control system changes parameters by calculating visual field range parameters for each stop position candidate and selecting the position that optimizes both safety and efficiency. It adjusts the stop position selection based on detected objects, recognized traffic participants, and calculated visual field characteristics.
3Productivity
If the mobile object stops at positions not within visual field range, then it can reach destination faster, but traffic participants cannot recognize it leading to harmful effects
Solution Approach 1:
The control system applies preliminary anti-action by preventing the mobile object from stopping at positions where it would be outside the visual field range of traffic participants. It proactively identifies and eliminates harmful stop positions before the mobile object reaches them, ensuring the mobile object is always recognizable when stopped.
Data Source
AI summary
A control system that controls a mobile object which is capable of autonomously moving in an area in which a pedestrian is able to move detects objects around the mobile object, recognizes a traffic participant that is estimated to pass by the mobile object included in the object and a stop position to which the mobile object is able to be evacuated on the basis of a result of the detection of the object, and stops the mobile object at a stop position so that the mobile object is included in a visual field range of the traffic participant when the traffic participant and the mobile object are estimated to pass by each other.