UAM Ground Robot Coordination for Collision Avoidance and Passenger Guidance
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Solution Overview
Problem
Urban air mobility vehicles face collisions with other objects or workers during ground operations, and there is a lack of clear guidance for passenger movement, leading to potential accidents and confusion.
Innovation Solution
An unmanned robot system that includes UWB tags and anchors for precise positioning, obstacle detection, and guidance modules to prevent collisions and provide safe passenger pathways by surrounding the vehicle and guiding passengers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the unmanned robot surrounds the external periphery of the urban air mobility vehicle during ground operations, then collision risk with other objects is reduced, but device complexity increases
Solution Approach 1:
The unmanned robot autonomously surrounds the urban air mobility vehicle and performs collision detection without continuous human intervention. The robot uses its own onboard sensors and processing capabilities to independently monitor the environment and alert the vehicle, making the system self-sufficient and reducing operational complexity.
Solution Approach 2:
The unmanned robot acts as an intermediary between the urban air mobility vehicle and the surrounding environment. It serves as a protective buffer that detects obstacles and communicates potential collision risks to the vehicle, thereby reducing the direct complexity of the vehicle's own sensing and protection systems.
2Ease of operation
If the unmanned robot provides guidance information to passengers, then passenger confusion is reduced, but information processing requirements increase
Solution Approach 1:
The unmanned robot performs multiple functions: it surrounds the vehicle for collision prevention, detects obstacles, and provides passenger guidance. By consolidating these diverse functions into a single multi-functional platform, the overall system complexity is managed more efficiently than if separate systems were implemented for each function.
Solution Approach 2:
The guidance information delivery function is merged with the robot's existing navigation and communication capabilities. The robot uses its positioning system and output devices (already required for navigation) to also provide passenger guidance, thereby avoiding additional dedicated guidance system complexity.
3Measurement precision
If the unmanned robot moves synchronously with the urban air mobility vehicle, then collision detection accuracy is improved, but control system complexity increases
Solution Approach 1:
The synchronous control system uses feedback from the urban air mobility vehicle's movement data to continuously adjust the unmanned robot's position and orientation. This feedback loop maintains accurate relative positioning for collision detection while using standard control algorithms that manage system complexity.
Solution Approach 2:
The unmanned robot preliminarily establishes its synchronous movement pattern with the urban air mobility vehicle before actual collision detection begins. By pre-configuring the relative positioning and movement coordination, the system reduces the real-time control complexity during actual 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
Prevents collisions and ensures safe entry and exit of passengers by detecting obstacles and providing clear guidance, reducing the risk of accidents and enhancing operational safety.
Implementation Method 1
a command according to a first mode, when a ground operation support request is received from the urban air mobility vehicle, is transmitted to a plurality of unmanned robots, and the plurality of unmanned robots move in synchronization with the urban air mobility vehicle while being arranged to surround an external periphery of the urban air mobility vehicle
Data Source
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AI summary
A unmanned robot for an urban air mobility vehicle includes: a processor; a communication module; and at least one storage medium operatively connected to the processor, wherein a program configured to be executable by the processor is recorded in the at least one storage medium, wherein the program may include commands for a control module configured to control performance of an operation according to the received command according to one of a first mode and a second mode, wherein the first mode may be a mode in which one or more of the unmanned robots move in synchronization with the urban air mobility vehicle, and the second mode may be a mode in which one or more of the unmanned robots are arranged on a road surface between a take-off and landing area of the urban air mobility vehicle and a gate to provide a moving path.