Marker-Guided Robotic Vehicle Navigation for Route and Collision Control
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Solution Overview
Problem
Robotic vehicles, such as vacuum cleaners and aerial vehicles, often move inefficiently and may collide with objects due to erratic patterns or lack of control over their routes, necessitating a system to allow users to influence their navigation without taking full control.
Innovation Solution
A marker-based navigation system for robotic vehicles, which includes sensors to detect markers, a data analysis engine to interpret marker characteristics, and an action determination engine to execute tasks or change routes based on marker instructions, allowing the vehicle to seek, perform actions, and terminate processes in specific zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If robotic vehicles operate autonomously without user control, then they maintain robotic character and automation, but they move inefficiently and collide with objects due to erratic patterns
Solution Approach 1:
Physical markers are introduced as intermediary objects in the environment that mediate between the user's navigation intent and the autonomous robotic vehicle. The markers serve as a communication interface, allowing users to encode navigation instructions (e.g., directional arrows, stop signs) that the vehicle's sensor detects and follows, thereby guiding autonomous operation without requiring direct control
Solution Approach 2:
The patent replaces direct mechanical or electronic control systems with an optical/visual communication system. Instead of using complex control interfaces or remote manipulation, the system uses optical markers detected by sensors (e.g., cameras, image processors) to convey navigation commands, substituting a simpler optical field-based interaction for complex mechanical control
2Productivity
If robotic vehicles follow erratic patterns to cover more area, then they increase productivity in task completion, but they miss dirty spots and reduce cleaning effectiveness
Solution Approach 1:
Users pre-place markers in the environment before the robotic vehicle begins operation. These markers预先 define the desired navigation path and task execution points. The vehicle then follows these pre-established guides, ensuring both efficient coverage and precise execution of tasks at designated locations, eliminating the need for reactive adjustments during operation
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
Enables efficient and controlled navigation of robotic vehicles by allowing users to influence their routes through marker-based instructions, reducing collisions and ensuring completion of tasks within designated areas.
Implementation Method 1
a sensor configured to detect a marker
Data Source
AI summary
A robotic vehicle can seek markers in one or more zones and take action if the marker so indicates. Systems, methods, and computer-readable media can cause a robotic vehicle to seek and identify a marker, then determine whether action should be taken based on a characteristic of the marker. If an action should be performed, the robotic vehicle can perform an action, and if no action should be performed, a determination can be made whether to seek another marker, move to another zone, or terminate the robotic vehicle's routine.