Robot Positioning via Region-of-Interest Image Data
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Solution Overview
Problem
Robots are ill-equipped for interacting or facilitating interactions with people or other autonomous robots, as they are often designed for automated repetitive tasks in environments without human interaction.
Innovation Solution
A system comprising a robot with an imaging device, mobility subsystem, and positioning subsystem that tracks image data, detects objects of interest, generates region-of-interest image data, and determines optimal proximity and location for interaction, allowing the robot to move to a target position for effective interaction with individuals or other robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots are designed for automated repetitive tasks in environments without human interaction, then productivity and task execution accuracy are improved, but the robot's ability to interact with people or other autonomous robots deteriorates
Solution Approach 1:
The robot system integrates multiple functions including imaging devices for detection, mobility subsystems for movement, and positioning subsystems for spatial awareness, enabling the robot to perform both automated tasks and interactive functions. The imaging subsystem can track objects and generate region-of-interest data, while the positioning subsystem determines optimal interaction positions, allowing the same robot to switch between productivity-focused and interaction-focused modes.
2Adaptability or versatility
If robots are equipped with imaging devices and positioning subsystems to enable interaction, then interaction capability is improved, but device complexity increases
Solution Approach 1:
The robot system is divided into distinct functional modules: an imaging device for capturing visual data, an imaging subsystem for processing and tracking, a positioning subsystem for determining location and orientation, and a mobility subsystem for movement. Each module performs a specific function, allowing the complex interaction capability to be built from manageable, independent components that can be developed and maintained separately.
3Productivity
If the imaging subsystem generates region-of-interest image data by digitally cropping tracked image data, then processing efficiency is improved, but image data quality may deteriorate
Solution Approach 1:
The imaging subsystem extracts only the relevant region-of-interest from the full tracked image data through digital cropping. This extraction process removes unnecessary portions of the image, reducing the data volume that requires further processing while maintaining the quality and detail of the important features within the cropped region.
Data Source
AI summary
A system may include a robot that includes (1) an imaging device that generates image data corresponding to a field of view of the imaging device and (2) a mobility subsystem that moves the robot. The system may also an imaging subsystem that (1) tracks the image data, (2) detects an object of interest in the field of view of the imaging device, and (3) generates region-of-interest image data that includes only a portion of the tracked image data corresponding to a region of interest. Additionally, the system may include a positioning subsystem that (1) determines an initial proximity of the robot to the object of interest and (2) determines a target location for the robot. Various other robots, systems, and methods are also disclosed.