Autonomous Trailer Robot Navigation Using a Centerline Heuristic
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Solution Overview
Problem
Autonomous mobile robots face challenges in accurately navigating and manipulating objects within trailers due to positional inaccuracies and traditional pathfinding algorithms that prioritize shortest paths, which can lead to insufficient maneuvering space and obstacles.
Innovation Solution
The autonomous mobile robot determines its location and the location of objects within the trailer relative to the trailer itself, using sensor data to compute a path with a centerline heuristic that prioritizes staying near the trailer's centerline for improved maneuverability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional pathfinding algorithms prioritize shortest or fastest paths, then navigation speed is improved, but maneuvering space is reduced
Solution Approach 1:
The patent applies local quality by making the path cost function spatially variable through the centerline distance metric. Paths closer to the trailer centerline are assigned lower costs, creating a gradient that guides the robot through regions with better maneuverability while still allowing efficient navigation. This resolves the contradiction by making navigation speed and maneuvering space compatible through localized cost adjustments rather than global path optimization.
2Measurement precision
If the robot uses environment map for navigation, then navigation accuracy in warehouse is improved, but integration accuracy in trailer is reduced
Solution Approach 1:
The patent segments the navigation system into two distinct coordinate reference frames: the warehouse environment map and the trailer-specific coordinate system. The robot maintains both representations and performs coordinate transformations between them. This segmentation allows the robot to leverage the accuracy of the environment map for warehouse navigation while achieving accurate integration and positioning within the trailer by using trailer-specific sensor data and a dedicated coordinate system.
3Adaptability or versatility
If trailer is not perfectly parallel to ground, then loading flexibility is improved, but position accuracy is reduced
Solution Approach 1:
The patent implements dynamics by making the coordinate transformation between the warehouse environment map and trailer coordinate system adaptive rather than static. The transformation parameters (rotation angles, translation offsets) are dynamically determined based on actual trailer positioning and orientation detected by sensors. This allows the system to accommodate trailers at various angles and positions while maintaining accurate position measurements and navigation within the trailer frame.
Data Source
AI summary
To load and unload a trailer, an autonomous mobile robot determines its location and the location of objects within the trailer relative to the trailer itself, rather than relative to a warehouse. The autonomous mobile robot determines its location the location of objects within the trailer relative to the trailer. The autonomous mobile robot navigates within the trailer and manipulates objects within the trailer from the trailer's reference frame. Additionally, the autonomous mobile robot uses a centerline heuristic to compute a path for itself within the trailer. A centerline heuristic evaluates nodes within the trailer based on how far away those nodes are from the centerline. If the nodes are further away from the centerline, they are assigned a higher cost. Thus, when the autonomous mobile robot computes a path, the path is more likely to stay near the centerline of the trailer rather than get closer to the sides.