XR Robotic Manipulation for Wide-FOV Remote Dexterous Control
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Solution Overview
Problem
Current robotic manipulation technologies face challenges in achieving dexterous manipulation across a wide range of use cases due to reliance on accurate perception data and the need for human intervention, limiting their generality and reliability.
Innovation Solution
Integration of Extended Reality (XR) technologies, such as virtual, mixed, and augmented reality, with robotic platforms to enhance operator control through high-resolution environmental feedback and remote control capabilities, allowing for improved situational awareness and direct manipulation of robotic arms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If robotic manipulation systems rely on accurate perception data processing, then manipulation precision is improved, but system complexity and dependency on human intervention increase
Solution Approach 1:
The patent creates a virtual copy of the physical environment using XR technology, allowing operators to interact with a digital representation rather than directly processing complex raw perception data. This virtual model simplifies the interface between human operators and the robotic system, reducing the complexity of perception data processing while maintaining manipulation precision through accurate virtual environment representation.
2Productivity
If robotic systems operate autonomously without human intervention, then productivity is improved, but reliability in complex scenarios deteriorates
Solution Approach 1:
The XR interface acts as an intermediary between autonomous robotic operations and human operators. It enables seamless collaboration where the robot can operate autonomously in routine tasks while humans provide supervisory control and intervention in complex scenarios through the immersive interface, thereby maintaining both high productivity and reliability.
3Ease of operation
If narrow use case implementations are used, then ease of operation is improved, but adaptability to different scenarios deteriorates
Solution Approach 1:
The XR interface provides a universal control mechanism that works across multiple use cases and scenarios. Rather than requiring different control systems for different tasks, the immersive interface adapts to various manipulation scenarios while maintaining consistent ease of operation, thereby achieving both operational simplicity and broad adaptability.
Data Source
AI summary
A method of controlling a robot includes: receiving, by a computing device, from one or more sensors, sensor data reflecting an environment of the robot, the one or more sensors configured to have a field of view that spans at least 150 degrees with respect to a ground plane of the robot; providing, by the computing device, video output to an extended reality (XR) display usable by an operator of the robot, the video output reflecting the environment of the robot; receiving, by the computing device, movement information reflecting movement by the operator of the robot; and controlling, by the computing device, the robot to move based on the movement information.