Autonomous Robot Shape Transition Modeling for Collision Avoidance
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Solution Overview
Problem
Existing systems for modifying the representation of robots during movement transitions lack accuracy, often resulting in inefficient navigation and increased risk of collisions due to direct switching between initial and final representations without accounting for intermediate shapes.
Innovation Solution
A method that generates intermediate representations of a robot's shape, scaling between initial and final representations to fit within bounding boxes, allowing for incremental scaling to accurately represent the robot's shape during transitions, thereby enhancing collision avoidance and navigation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If direct switching between initial and final representations is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent segments the direct transition between initial and final representations into multiple intermediate representations. These intermediate representations divide the shape transformation into discrete steps, each fitting within bounding boxes, thereby improving measurement precision without significantly increasing system complexity.
Solution Approach 2:
The patent introduces intermediate representations as mediators between the initial and final representations. These intermediate representations serve as transitional states that accurately capture the robot's shape during movement transitions, resolving the contradiction by adding precision through intermediary elements rather than direct switching.
2Measurement precision
If intermediate representations are generated, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the complex transition into simpler intermediate steps, where each intermediate representation is scaled to fit within bounding boxes. This segmentation approach improves measurement precision while managing complexity by breaking down the transformation into manageable discrete states.
Solution Approach 2:
The patent uses parameter changes (scaling factors) to generate intermediate representations from the final representation. By systematically varying the scale parameter to fit bounding boxes, the system achieves high measurement precision through a controlled, parameter-driven process rather than complex geometric computations.
3Reliability
If intermediate representations are used for collision avoidance, then reliability is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary action by pre-calculating intermediate representations and their bounding boxes before actual movement transitions occur. This allows the robot to have collision avoidance data ready in advance, improving reliability without significant time loss during the actual transition since the intermediate states are already determined.
Solution Approach 2:
The system creates simplified copies (intermediate representations) of the robot's shape at different transition stages. These copied representations are computationally efficient to generate and use for collision avoidance, achieving high reliability without the time cost of complex real-time calculations by using pre-generated copies.
Data Source
AI summary
A system for modifying a representation of a component is disclosed. The system can implement a process that obtains a first representation of a component and a second representation of the component. The system can build one or more intermediate representations of the component based on the component transitioning between the first representation and the second representation. The system can perform tasks, activities, movement, etc. based on the one or more intermediate representations. The system can share the one or more intermediate representations of the component with other components to avoid collisions with the other components. The system may include a networking program to stream the representations to a computing device. The computing device can include a networking program to receive the representations that are streamed from the system through its networking program and a user interface (UI) application to display the representations.