面向复杂工况的机械臂视觉深度学习自适应控制系统
By combining asynchronous data alignment, coupled feature extraction, adaptive filtering, and impedance safety defense modules, the problems of deviation distortion and blind spots in the vision control system of the robotic arm under complex working conditions are solved, and stable motion control is achieved in the event of extreme vision failure.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ANHUI LINGJIE INTELLIGENT ROBOT CO LTD
- Filing Date
- 2026-05-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing robotic arm vision control systems suffer from several problems: in complex working conditions, the spatiotemporal misalignment of high and low frequency data leads to deviations and distortions; in continuous visual blind spots, there is a lack of active recovery paths; and in extreme visual failures, the underlying physical protection cannot simultaneously address both directional interception and flexible adaptation.
An asynchronous data alignment module records the absolute timestamp of the camera exposure midpoint; a coupled feature extraction module calculates the high-frequency Shannon entropy of the image and the alignment residual linear velocity vector; an adaptive filtering module generates a dynamic observation noise covariance matrix; a scanning active detection module searches for recovery paths in visual blind spots; and an impedance safety defense module reshapes impedance parameters during visual abrupt changes.
It achieves precise alignment of visual observation under complex working conditions, has the ability to actively escape from visual blind spots, and provides stable physical protection in the event of extreme visual failure, thereby improving the stability and safety of the robotic arm's motion trajectory.
Smart Images
Figure CN122401413A_ABST