Onboard AI Robot Control for Precise Low-Latency Motion
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Solution Overview
Problem
Existing robots face delays and reduced precision in task execution due to the need to request raw electrical signals from a server, leading to coarse movements and lower success rates in operations.
Innovation Solution
A robot equipped with an AI model that identifies and generates raw electrical signals based on instructions, enabling fine movements and reducing the need for server requests, thereby enhancing precision and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robots request raw electrical signals from a server to perform tasks, then task completion is possible, but operational delays occur and precision is reduced
Solution Approach 1:
The robot is equipped with an AI model that enables it to independently generate raw electrical signals from natural language instructions without requiring external server requests. This self-service capability eliminates operational delays while maintaining task completion reliability, as the robot can immediately process instructions and execute movements locally.
Solution Approach 2:
The AI model is pre-trained on a dataset of natural language instructions and corresponding raw electrical signals, enabling the robot to have the capability to generate control signals in advance without real-time server dependency. This preliminary preparation of the AI model allows the robot to autonomously perform tasks without waiting for server responses.
2Reliability
If robots use server-generated electrical signals, then task execution is possible, but movement precision is reduced to coarse movements
Solution Approach 1:
The robot uses its onboard AI model to generate precise raw electrical signals locally, enabling fine-grained control of actuators for precise movements. This self-generated signal approach replaces coarse server-generated signals with precisely controlled movements, allowing the robot to perform delicate tasks such as grasping and manipulation with high accuracy.
3Ease of operation
If robots rely on external server requests for signal generation, then operational simplicity is maintained, but adaptability and responsiveness are reduced
Solution Approach 1:
The robot maintains operational simplicity through natural language interface while simultaneously achieving high adaptability and responsiveness through its onboard AI model. The system can immediately respond to and adapt to new instructions without server latency, enabling real-time adjustments and flexible task execution while keeping the user interface simple.
Data Source
AI summary
One or more embodiments of the present disclosure may include a method. The method may include receiving an instruction identifying an operation to be completed by a robot. The method may also include identifying, using an artificial intelligence (AI) model, a task to be performed by the robot to complete the operation. Additionally, the method may include identifying, using the AI model, a series of movements to be made by the robot to perform the task. Further, the method may include identifying, using the AI model, a series of raw electrical signals configured to cause actuators to move the robot in accordance with the series of movements. The method may include generating the series of raw electrical signals to cause the actuators to move the robot in accordance with the series of movements and cause the robot to perform the task.