Teleoperation compensation and teleoperation method, device, and electronic device

By constructing a network delay compensation closed loop in the teleoperation system and using an extended active observer to perform model correction and disturbance estimation at both the slave and master control ends, the accuracy and stability issues of the teleoperation system under network delay are solved, achieving high-precision and low-latency teleoperation control.

CN122353574APending Publication Date: 2026-07-10REALMAN ROBOT CO LTD +2
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Patent Information

Application Number
CN202610475707.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-10
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing remote control systems suffer from insufficient estimation accuracy, poor adaptability in complex environments, and inadequate real-time performance when facing network latency, which affects control accuracy and stability.

Method used

By performing step-by-step corrections on the control model at both the slave and master control ends, and combining network interference torque compensation and feedback state parameter compensation, a network delay compensation closed loop is constructed. An extended active observer is then used for model correction and interference estimation to achieve high-precision acquisition of target state parameters.

Benefits of technology

It achieves millisecond-level low-latency remote teleoperation control, improves the robustness and adaptability of the system, maintains high precision and stability in complex environments, and solves the problem of insufficient real-time performance of existing network latency compensation systems.

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Abstract

This disclosure provides a teleoperation compensation and teleoperation method, apparatus, and electronic device. The teleoperation compensation method includes: at the slave control end of the teleoperation system, modifying the control model of the teleoperation system based on the robot's actual state parameters without network latency and the robot's physical configuration parameters; at the master control end of the teleoperation system, compensating for the robot's network interference torque based on the robot's feedback state parameters including network latency, and further modifying the modified control model; based on the secondary modified control model and the compensated network interference torque, compensating for the robot's feedback state parameters to obtain the robot's target state parameters. This disclosure enables robot teleoperation to possess the advantages of high precision, strong robustness, and low latency.
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