18373573. HUMAN-ROBOT COLLABORATION FOR 3D FUNCTIONAL MAPPING simplified abstract (Intel Corporation)
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 18373573 titled 'HUMAN-ROBOT COLLABORATION FOR 3D FUNCTIONAL MAPPING
The abstract describes a patent application related to human-robot collaboration for three-dimensional functional mapping using extended reality devices and robotic sensors.
- Key Features and Innovation:**
- Identification of direction/location based on user gaze via extended reality device
- Capture of environmental data using robotic device sensor
- Detection of physical features in the environment
- User input for annotating physical features
- Labeling physical features with annotations
- Potential Applications:**
This technology can be used in industries such as construction, manufacturing, and healthcare for mapping and annotating physical features in three-dimensional spaces.
- Problems Solved:**
This technology addresses the need for efficient and accurate mapping of physical features in complex environments, improving collaboration between humans and robots.
- Benefits:**
- Enhanced spatial awareness
- Streamlined data capture and annotation process
- Improved communication and collaboration in various industries
- Commercial Applications:**
"Three-Dimensional Functional Mapping Technology for Human-Robot Collaboration in Industrial Settings"
- Questions about Three-Dimensional Functional Mapping Technology:**
1. How does this technology improve collaboration between humans and robots in industrial settings? 2. What are the potential challenges in implementing this technology across different industries?
- Frequently Updated Research:**
Stay updated on advancements in extended reality devices, robotic sensors, and human-robot collaboration techniques for three-dimensional mapping applications.
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.
