Remote Robotic Vehicle Teleoperation with Sensor Fusion Control
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Solution Overview
Problem
Current robotic control systems face interoperability issues due to proprietary technologies, leading to high costs and limited compatibility with sensors from different manufacturers, and often rely on high-precision sensing technologies that are not robust or cost-effective for dynamic environmental conditions.
Innovation Solution
A platform-agnostic robotic control system that integrates with a wide variety of sensors, utilizing intuitive control methods and inertial sensors for precise movement control, allowing operation in dynamic environments and enabling seamless communication across different robotic platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If proprietary technology is used in robotic control systems, then control precision is improved, but interoperability deteriorates and cost increases
Solution Approach 1:
The patent implements a universal control system that can interface with multiple sensor types from different manufacturers through a standardized communication protocol. The system uses a common data aggregation layer that translates various sensor inputs into a unified control framework, enabling one control system to serve multiple sensor platforms without sacrificing precision or compatibility
2Measurement precision
If high-precision sensing technologies are employed, then measurement accuracy is improved, but cost increases and robustness in dynamic environments deteriorates
Solution Approach 1:
The patent combines multiple lower-cost sensors into a sensor fusion system that achieves high measurement accuracy through data aggregation and algorithmic processing. By merging inputs from multiple sensor types (inertial sensors, cameras, other detectors), the system attains precision comparable to expensive single sensors while improving robustness through redundancy and cross-validation in dynamic environments
3Measurement precision
If complex control systems are used, then control precision is improved, but ease of operation deteriorates and user fatigue increases
Solution Approach 1:
The control system incorporates autonomous features that perform complex computations and adjustments automatically without requiring sophisticated manual intervention. The system self-calibrates, automatically compensates for environmental variations, and adapts to user preferences, maintaining high precision while simplifying the operator's task to basic intuitive inputs
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides robust, low-cost data capture and aggregation capabilities, enhances user independence, and minimizes user fatigue by allowing intuitive control of robotic arms and vehicles, while ensuring compatibility with diverse sensor systems and environments.
Implementation Method 1
A teleoperation system for a vehicle includes an inertial sensor mounted on the vehicle and configured to measure motion data of the vehicle
Data Source
AI summary
Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.