Robot-Sensed AR Overlay for Interactive Object Control
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Solution Overview
Problem
Current augmented reality systems provide static views based on fixed databases, lacking dynamic interaction with the environment and failing to utilize real-time data from robots for enhanced user experience.
Innovation Solution
A computing device and robot system that uses sensors to gather data about objects in an environment, displaying a virtual representation and allowing user input to instruct the robot to interact with these objects, enabling dynamic augmented reality experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality systems use fixed databases to display object information, then the system structure is simple and easy to implement, but the augmented reality view becomes static and lacks dynamic interaction with the environment
Solution Approach 1:
The patent introduces robots as intermediary devices between the fixed database and the augmented reality display. Robots equipped with sensors (cameras, LIDAR, microphones) collect real-time environmental data and transmit it to the augmented reality system, enabling dynamic content updates without requiring the entire system structure to be complex. The robot acts as a mobile data collection intermediary that bridges the static database and dynamic display requirements.
Solution Approach 2:
The system transitions from a static fixed database to a dynamic data collection approach by deploying mobile robots that continuously gather environmental information. The augmented reality overlay dynamically updates based on real-time sensor data from robots, allowing the system to adapt to changing environments while maintaining a relatively simple core architecture through modular data processing.
2Loss of information
If augmented reality systems collect real-time data from multiple robot sensors, then the dynamic interaction and user engagement improve, but the data processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the data collection and processing functions across multiple independent robot units, each equipped with specific sensors (visual cameras, LIDAR, microphones). Rather than requiring one complex centralized system, multiple simpler robot modules independently collect data from different sensory modalities, reducing individual processing complexity while achieving comprehensive environmental data coverage through coordinated operation.
Solution Approach 2:
The system employs multi-functional robot platforms that can perform various sensing tasks (visual detection, spatial mapping, audio detection) using integrated sensor suites. These universal robots can adapt to different data collection requirements without requiring separate specialized systems, simplifying the overall architecture while maintaining comprehensive data collection capabilities through a single versatile platform.
3Ease of operation
If the system allows user input to control robot actions, then the ease of operation and user engagement improve, but the system complexity and control mechanisms increase
Solution Approach 1:
The patent implements feedback loops where user inputs (voice commands, gestures, touch interactions) are translated into robot actions, and the results are immediately reflected in the augmented reality overlay. The system continuously monitors robot status and environmental changes, providing real-time feedback to users through the AR interface, which simplifies operation by making the system responsive and intuitive while managing control complexity through automated feedback processing.
Solution Approach 2:
The system enables users to directly interact with and control robot actions through natural interfaces (voice, gesture, touch) without requiring complex programming or technical knowledge. The robot autonomously processes user commands and executes appropriate actions, with the augmented reality system automatically updating to reflect these actions, thereby simplifying user operation while the underlying system handles the complexity of command interpretation and execution.
Data Source
AI summary
A computing device configured to display a virtual representation of an environment of a robot includes a display device, a memory, and a processor coupled to the memory. The processor is configured to receive data from the one or more sensors of the robot with respect to an object within an environment of the robot. The processor is also configured to display a virtual representation of the object within a virtual mapping of the environment based on the data received from the one or more sensors. The processor is further configured to receive input data selecting the virtual representation of the object. The processor is also further configured to send instructions to the robot to act in response to the received input data.