An adaptive control method and related equipment for humanoid robots

By acquiring parameter data from industrial scenarios and dynamically matching sensor and actuator parameters, the problem of energy consumption and performance mismatch in humanoid robots under different scenarios has been solved, achieving a dynamic balance between energy consumption optimization and operational accuracy, and improving system adaptability and production efficiency.

CN120901945BActive Publication Date: 2026-03-10广州里工实业有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-07
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

The sensors and actuators of existing industrial humanoid robots have fixed parameters that cannot be dynamically adjusted according to the scenario, resulting in a mismatch between energy consumption and performance, insufficient adaptability, and the need for manual recalibration of parameters when switching between multiple tasks, which affects production efficiency.

Method used

By acquiring parameter data from industrial scenarios, including ambient light intensity, task type, and movement speed, the system dynamically matches sensor operating modes with actuator operating parameters, generates linkage control commands, and enables real-time adjustment of sensors and actuators.

Benefits of technology

It achieves a dynamic balance between energy consumption optimization and operational accuracy of humanoid robots in different industrial scenarios, reducing energy consumption by 30%-50%, improving system adaptability and production efficiency, and reducing the time required for switching between multiple scenarios with manual intervention.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses an adaptive control method and related equipment for a humanoid robot, relating to the field of robotics. The method includes: acquiring parameter data related to an industrial scenario; the parameter data includes ambient light intensity, task type, movement speed, and workpiece precision requirements; determining the target industrial scenario type based on the parameter data; the target industrial scenario type includes high-light high-precision assembly scenarios, low-light inspection scenarios, high-speed movement scenarios, or heavy-load handling scenarios; generating linkage control commands according to the target industrial scenario type; responding to the linkage control commands, synchronously controlling sensors to switch to the corresponding working mode and actuators to adjust to matching operating parameters; the adjustment priority of the working mode and the adjustment range of the operating parameters have a scenario-related mapping relationship. This application adjusts the working mode of the sensors and the operating parameters of the actuators in real time according to the industrial scenario type, achieving higher efficiency and realizing a dynamic balance between energy consumption optimization and operational accuracy.
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Citation Information

Patent Citations

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