Autonomous Mobile Robot Navigation for Polite Obstacle Yielding
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Solution Overview
Problem
Autonomous mobile robots face challenges in navigating environments with narrow corridors, complex pathways, and high pedestrian density, requiring flexible path planning and real-time obstacle avoidance while also needing to be polite and human-like in their interactions.
Innovation Solution
The autonomous mobile robot is equipped with a movement module, detection module, control module, and interaction module, allowing it to detect obstacles, plan avoidance strategies, and perform polite interactions such as voice prompts to navigate through environments effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the robot uses basic obstacle avoidance, then it can navigate simple paths, but it cannot handle narrow corridors and high pedestrian density effectively
Solution Approach 1:
The robot dynamically adjusts its path planning strategy based on real-time environmental conditions. When pedestrians or obstacles are detected, the system transitions from following a predetermined path to actively calculating alternative routes, yielding points, and avoidance maneuvers, thereby adapting to complex environments while maintaining navigation reliability
Solution Approach 2:
The detection module continuously monitors the environment and provides feedback to the control module. This feedback loop enables the robot to detect obstacles, assess their type and position, and adjust its path planning in real-time, improving both adaptability to complex environments and reliability of navigation
2Productivity
If the robot moves quickly to improve delivery efficiency, then productivity increases, but it reduces ability to avoid obstacles and interact politely
Solution Approach 1:
The robot dynamically adjusts its speed based on environmental conditions detected by the detection module. In areas with high pedestrian density or obstacles, the robot automatically reduces speed to ensure safe navigation and polite interaction, while maintaining higher speeds in open areas to preserve delivery efficiency
Solution Approach 2:
The control module receives continuous feedback from the detection module about obstacle proximity and type. This feedback enables real-time speed adjustment, allowing the robot to maintain productivity by moving quickly when safe, while reliably avoiding obstacles and interacting politely when pedestrians or vulnerable individuals are detected
3Reliability
If the robot follows a predetermined path strictly, then navigation is simple and reliable, but it cannot perform flexible path planning and real-time obstacle avoidance
Solution Approach 1:
The navigation system transitions from static predetermined path following to dynamic path planning. The control module continuously evaluates the predetermined path against real-time detection data, dynamically generating alternative routes, yielding points, and avoidance maneuvers when obstacles are detected, thereby achieving both reliability and flexibility
Solution Approach 2:
The system pre-calculates alternative paths and yielding points along the predetermined route. When obstacles are detected, the robot can immediately execute these pre-planned alternative actions without delaying navigation, maintaining reliability while achieving flexible obstacle avoidance
4Reliability
If the robot avoids all obstacles conservatively, then safety is improved, but it increases navigation time and reduces productivity
Solution Approach 1:
The robot applies different avoidance strategies based on the local characteristics of detected obstacles. Vulnerable individuals like elderly persons or those with mobility aids receive conservative avoidance with extended yielding distances, while other obstacles use standard avoidance protocols, optimizing safety without unnecessarily reducing navigation speed
Solution Approach 2:
The control module adjusts avoidance parameters such as yielding distance, speed reduction magnitude, and path deviation based on obstacle type and position. This parameter optimization enables the robot to maintain high safety standards while minimizing the impact on navigation speed and productivity
Data Source
AI summary
An autonomous mobile robot and an operating method thereof are provided. The autonomous mobile robot includes a movement module, a detection module, a control module and an interaction module. The control module includes a determination unit and a navigation unit. The determination unit determines whether there is an obstacle near or on a predetermined path of the autonomous mobile robot according to the environment information. When the obstacle is on the predetermined path, the navigation unit decides an obstacle avoidance strategy according to the environment information and the type of the obstacle. The obstacle avoidance strategy at least includes moving along a side path, stopping aside to yield, moving backward and stopping at a yielding point to yield, and detouring. When the obstacle is near or on the predetermined path, the interaction module performs an interaction action according to the obstacle avoidance strategy and the type of the obstacle.