一种基于机器视觉的机器人抓取定位控制系统及方法
By generating candidate gripping parts through visual data processing and target carrier information, target gripping parts that balance gripping stability and process avoidance are selected. This solves the problems of stability and process area avoidance when picking up and placing thin workpieces, and improves the stability and efficiency of robot gripping and positioning control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN FOSIDE INTELLIGENT TECH CO LTD
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing machine vision gripping and positioning control systems struggle to balance gripping stability with avoiding obstacles in subsequent processing areas when handling thin workpieces, leading to problems such as obstructed release, discontinuous pressing, inability of locking tools to enter, and obstruction of the detection field of view.
The visual data processing module acquires workpiece images and vacuum suction cup end effector parameters. Combined with the target carrier spatial information, the workpiece contour and posture are determined, candidate gripping parts are generated, and target gripping parts are selected based on gripping stability and the area occupied by process actions. The robot gripping and positioning results are then output.
It achieves a balance between gripping stability and avoiding subsequent process areas when picking up and placing thin workpieces, reducing process obstruction and exit interference, and improving the stability of gripping and placement.
Smart Images
Figure CN122401459A_ABST