XR Robot Collaboration for Variable Manufacturing Environments
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Solution Overview
Problem
Manufacturing operations in natural spaces require significant human capital and are challenging due to the natural variability of raw materials, with existing remote work systems being difficult to program and implement effectively for robotic devices.
Innovation Solution
An extended reality (XR) system comprising an autonomous robotic device and a user interface that allows users to provide inputs via a XR environment, using machine learning algorithms trained on physical environment data and user inputs to perform autonomous actions, with sensors monitoring discrete data values and user equipment like HMDs and controllers for interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If workers physically perform manufacturing operations in natural spaces, then they can accommodate natural variability of raw materials, but significant human capital is required and remote work is not possible
Solution Approach 1:
The autonomous robotic device performs manufacturing operations independently in natural spaces, accommodating natural variability of raw materials through its own sensing and decision-making capabilities rather than requiring human workers to physically present
Solution Approach 2:
The XR system acts as an intermediary between the remote user and the autonomous robotic device, allowing the user to provide inputs that guide the robot's actions while the robot handles the physical adaptation to natural material variability
2Productivity
If remote work capabilities are provided to workers in manufacturing operations, then human capital requirements are reduced, but systems become challenging to program and implement
Solution Approach 1:
The XR system creates a virtual copy of the physical manufacturing environment, allowing users to interact with and control the robotic device remotely through an intuitive interface that mirrors the actual workspace, simplifying programming and implementation
Solution Approach 2:
The autonomous robotic device is designed with multi-functionality, capable of performing various manufacturing operations across different natural spaces, reducing the need for specialized systems for each application
3Productivity
If autonomous robotic devices are used in manufacturing operations, then human capital requirements are reduced, but the ability to handle natural variability of raw materials becomes challenging
Solution Approach 1:
The autonomous robotic device uses sensors to continuously monitor the physical environment and receives feedback from the XR system based on user inputs, enabling it to adapt to natural variability in raw materials while maintaining autonomous operation
Solution Approach 2:
The robotic device incorporates dynamic capabilities through machine learning algorithms that can adapt its behavior in real-time based on environmental conditions and material variability, allowing flexible handling of natural variations
Data Source
AI summary
An exemplary embodiment of the present disclosure provides an extended reality (XR) system comprising an autonomous robotic device and a user interface. The autonomous robotic device can be located in a physical environment. The user interface can be configured to display an XR environment corresponding to at least a portion of the physical environment and receive an input from the user based on the user's perception in the XR environment. The autonomous robotic device can be configured to perform an autonomous action based at least in part on an input received from the user.