Robot Motion Intent-Based URLLC Resource Pre-reservation System

Abstract

The invention is a system that predicts robot movement intentions in 6G haptic internet networks and pre-reserves URLLC resources. The system consists of a Robot Motion Sensor Module (1), Intent Prediction Processor (2), Resource Reservation Unit (3), 6G Network Slicing Controller (4), URLLC Resource Pool (5), and Feedback Analysis Unit (6). By analyzing the robot's joint movements, the next movement is predicted, and network resources are proactively reserved in line with this prediction. In this way, end-to-end delay in the haptic feedback loop is minimized, and real-time interaction is ensured. Thanks to the feedback mechanism, the system continuously learns and increases the accuracy of prediction.

Description

1 TARIFF Robot Motion Intent-Based URLLC Resource Pre-reservation System Technical Area 5 The invention relates to 6G communication networks and tactile internet technologies. Specifically, Ultra-Reliable Low-Latency Communication by analyzing the movement intentions of robotic systems. (URLLC) is a resource management system and method that dynamically reserves resources. It offers. 10 State of the Art In current haptic internet applications, the interaction between robotic devices and control units... Communication generally relies on instantaneous response times. Current systems process data packets in 15 seconds. Because it allocates resources when the transmission begins, there are delays in sudden movements. This situation is a critical safety issue, especially in surgical robots or industrial automation systems. This creates risks. Existing URLLC protocols allocate fixed bandwidth to the resource. This leads to waste or exceeds the immediate response time by operating on a demand-based system. Furthermore, a synchronization mechanism between the robot's physical movement tendencies and network resources 20 These deficiencies lead to packet loss in processes requiring high precision. This causes an increase in delay. Purpose of the Invention The invention proactively utilizes network resources by predicting the movement intentions of robotic systems. It aims to create a system that reserves the robot's joints. By analyzing data from its sensors, it can predict the intensity and delay of the next movement. It determines its sensitivity. In this way, URLLC determines the sensitivity before data transmission even begins. The required bandwidth and priority level are defined in the segment. The main purpose of the invention is 30 By reducing the end-to-end delay in the haptic feedback loop to below 1ms, it provides true realism. The aim is to enable real-time interaction. Unlike existing technology, the invention handles not only network traffic, but also... It uses the intention of physical movement as an input. This approach ensures that resources are not only... It ensures that optimization takes place not when it's needed, but just before the need arises. 35 2 Figures that will help understand the invention. Figure 1 shows a general representation of the system that is the subject of the invention. Description of Part References 5 1: Robot Motion Sensor Module 2: Intent Prediction Processor 3: Resource Reservation Unit 4: 6G Network Slicing Controller 10 5: URLLC Resource Pool 6: Feedback Analysis Unit Detailed Description of the Invention The invention predicts robot movement intent in 6G haptic internet networks using URLLC. It is a system that reserves its resources in advance. The system is located on the robotic unit. Robot Motion Sensor Module (1), Intent Prediction Processor (2), Resource Reservation Unit (3), 6G Network Slicing Controller (4), URLLC Resource Pool (5) and Feedback Analyzer The unit consists of (6) elements. 20 The Robot Motion Sensor Module (1) measures the robot's joint angles, torque values ​​and acceleration data. It is a hardware unit that collects real-time data. This module converts the robot's physical movements into digital data. It converts and transmits it to the Intent Prediction Processor (2) unit. Robot Motion Sensor Module (1), The robot's kinetic energy is determined via IMU and encoder sensors with a high sampling rate. He constantly monitors the situation. The Intent Prediction Processor (2) processes the data received from the Robot Motion Sensor Module (1). It is the unit that predicts the robot's next move by processing the robot's current data. This unit analyzes the robot's current situation. By analyzing the motion vector and velocity changes, 30 within the next 10-50 milliseconds It calculates the complexity and data density of the movement that will take place. For example, a robotic arm. If it is going to make a quick maneuver, the Intent Prediction Processor (2) marks this situation as "high priority move". It classifies them as such and generates an intent score. Resource Reservation Unit (3) adds 35 intent scores to the intent score generated by the Intent Prediction Processor (2). It is the decision-making mechanism that plans network resources according to the predicted movement. This unit determines the movement of network resources. 3 It determines the latency tolerance and the required bandwidth. If the intent score exceeds a certain threshold... If the value is above, Resource Reservation Unit (3), 6G Network Slicing Controller (4) It sends an immediate reservation request to the unit. This request is not a standard data request, It is a request to guarantee resources for a future period. The 6G Network Slicing Controller (4) is the unit that creates and manages virtual slices in the network infrastructure. Based on the request from the Resource Reservation Unit (3), URLLC Resource Pool (5) It allocates a dedicated communication channel for the relevant robot. This process affects other services on the network. without affecting it, simply creating a low-latency path for the communication traffic of the relevant robot. It provides. 10 URLLC Resource Pool (5) is dedicated to ultra-reliable and low-latency communication in the 6G network. It is the area where physical and logical resources are located. This pool contains spectrum particles, processors. It includes power and priority queuing mechanisms. The 6G Network Slicing Controller (4) is located in this pool. By dynamically drawing resources, it allocates bandwidth to match the robot's intended movement. 15 The Feedback Analysis Unit (6) continuously monitors and optimizes the system's performance. It is a unit. The actual movement performed by the robot and the Intent Prediction Processor (2) It analyzes the difference between the predictions and the actual movements. If there is a difference between the predictions and the actual movements... If there is a discrepancy, the Feedback Analysis Unit (6) sends this data to the Intent Prediction Processor (2) 20 It enables the updating of prediction algorithms by feeding feedback to the unit. The system's operating scenario is as follows: The Robot Motion Sensor Module (1) controls the robot's joints. It detects their movements and transmits the data to the Intent Prediction Processor (2). Intent Prediction Its processor (2) detects that the robot is about to make a sudden move and assigns a high priority intent score of 25. It creates. The Resource Reservation Unit (3) receives this score and the 6G Network Slicing Controller (4) It sends a command to the unit to reserve URLLC resources. 6G Network Slicing The controller (4) allocates the required bandwidth and priority via the URLLC Resource Pool (5). It reserves its turn for the robot. When the robot begins its movement, data packets It is transmitted through this pre-reserved channel with minimum delay. Finally, Feedback 30 The Analysis Unit (6) optimizes the system by measuring the accuracy of the movement and network performance. 35

Claims

4 REQUESTS 1. Predicting robot movement intentions in 6G tactile internet networks and using URLLC resources. It is a pre-reservation system, the feature of which is;  Robot 5 collects real-time data on the robot's joint angles, torque values, and acceleration. Motion Sensor Module (1),  By processing the data received from the Robot Motion Sensor Module (1), the robot can perform a Intent Prediction Processor (2), which predicts the next move and generates an intent score,  Network resources according to the intent score generated by the Intent Prediction Processor (2) 10 planning and sending reservation requests to the 6G Network Slicing Controller (4) unit Resource Reservation Unit (3),  Creating virtual slices in the network infrastructure and via URLLC Resource Pool (5) 6G Network Slicing Controller (4), which allocates resources,  Dedicated physical and logical resources for ultra-reliable and low-latency communication on the 6G network. URLLC Resource Repository (5) and 15 where resources are located  the actual movement performed by the robot and the Intent Prediction Processor (2) Feedback Analysis Unit (6) which analyzes the difference between the forecast made It includes. 25 35

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