Intel Corporation (20240312050). HUMAN-ROBOT COLLABORATION FOR 3D FUNCTIONAL MAPPING simplified abstract
Contents
HUMAN-ROBOT COLLABORATION FOR 3D FUNCTIONAL MAPPING
Organization Name
Inventor(s)
David Gonzalez Aguirre of Portland OR (US)
HUMAN-ROBOT COLLABORATION FOR 3D FUNCTIONAL MAPPING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312050 titled 'HUMAN-ROBOT COLLABORATION FOR 3D FUNCTIONAL MAPPING
Simplified Explanation: The patent application discusses techniques for human-robot collaboration in three-dimensional functional mapping using extended reality devices and robotic sensors.
Key Features and Innovation:
- Identification of direction/location based on user gaze
- Capture of environmental data using robot sensors
- Detection of physical features in the environment
- Annotation of physical features based on user input
Potential Applications: This technology can be used in industries such as construction, manufacturing, and healthcare for tasks requiring precise mapping and annotation of physical features in a three-dimensional space.
Problems Solved: This technology addresses the need for accurate and efficient mapping of physical features in complex environments, improving collaboration between humans and robots.
Benefits:
- Enhanced accuracy in mapping physical features
- Increased efficiency in collaborative tasks
- Improved communication between humans and robots
Commercial Applications: The technology can be applied in industries such as architecture, urban planning, and archaeology for mapping and annotating complex environments, leading to more efficient and precise data collection and analysis.
Questions about Human-Robot Collaboration for 3D Functional Mapping: 1. How does the technology improve collaboration between humans and robots in mapping physical features? 2. What are the potential challenges in implementing this technology in real-world applications?
Frequently Updated Research: Researchers are continually exploring new ways to enhance human-robot collaboration in three-dimensional mapping, focusing on improving accuracy, efficiency, and user experience.
Original Abstract Submitted
various aspects of techniques, systems, and use cases may be used for human-robot collaboration for three-dimensional (3d) functional mapping. an example technique may include receiving identification of a direction or location based on a user gaze identified via an extended reality device, causing environmental data of an environment to be captured using a sensor of a robotic device corresponding to the direction or location based on receiving the identification, and detecting, within the environmental data, at least one physical feature of the environment. the example technique may include determining, from a user input, an annotation to apply to the at least one physical feature, and labeling the at least one physical feature with the annotation.
