Robotic Map Annotations Configure Customizable Behaviors
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Solution Overview
Problem
Current robotic systems lack adaptability to specific environmental needs, making them generic and ineffective in diverse settings, and they are often perceived as encumbrances in populated environments.
Innovation Solution
The system provides robotic map annotations that configure customizable behaviors, allowing robots to execute media files and interact with users upon entering specific areas, thereby enhancing their adaptability and synergy with their environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robots are designed to be generic and simple, then device complexity is reduced, but adaptability to specific environmental needs deteriorates
Solution Approach 1:
The system segments robotic functionality into modular components: core navigation robots and annotation servers. The server handles complex tasks like map annotation, media file management, and behavior configuration, while robots focus on execution and data collection. This segmentation allows robots to remain relatively simple while the system as a whole achieves high adaptability through the server's configurable annotation framework.
Solution Approach 2:
The system performs preliminary actions by pre-annotating maps with geographic areas and associating them with media files and behaviors before robot execution. Users can configure custom behaviors, select media files, and define area boundaries in advance, allowing robots to simply execute pre-configured tasks rather than requiring complex real-time decision-making capabilities.
2Ease of operation
If robots execute multiple customizable behaviors and media files, then user experience and environmental synergy improve, but device complexity increases
Solution Approach 1:
The annotation server acts as an intermediary between users and robots, handling the complexity of behavior configuration, media file management, and map annotation. Users interact with the server through intuitive interfaces to configure behaviors and select media files, while the server translates these high-level configurations into executable robot commands, shielding users from underlying system complexity.
Solution Approach 2:
The system uses map copies and annotations stored on the server rather than requiring complex processing on robot devices. Geographic areas, media files, and behavior configurations are replicated and distributed to robots as needed, allowing multiple robots to execute customized behaviors without each robot needing full computational capabilities for configuration and media management.
3Adaptability or versatility
If robots are perceived as encumbrances in populated environments, then ease of operation deteriorates, but adaptability to human interaction needs improves
Solution Approach 1:
The system enables dynamic adaptation of robot behaviors based on geographic context and user-defined parameters. Robots can execute different media files and behaviors depending on their location within annotated areas, allowing them to adapt to human interaction needs in different environments while maintaining simple core navigation and execution capabilities.
Data Source
AI summary
Systems and methods for robotic map annotations for customizing behaviors are disclosed herein. According to at least one non-limiting exemplary embodiment, robots produce computer readable maps of their environment which may be annotated to improve the functionality of the robots, configure tasks, and/or enable multimedia displays to enhance an environment. The highly customizable nature of the annotation system enables robots to rapidly adapt to the unique conditions of their environments.