The application discloses a
pose-deformation joint
estimation method and
system for micro contact
assembly process, a workpiece is scanned by a
mobile device from multiple perspectives, and a global
point cloud model of the workpiece is reconstructed. Next, the overall
pose parameters and the local surface
topography of the workpiece are solved synchronously, and then a
displacement field and a strain field are constructed to quantitatively represent the deformation state. Subsequently, the image,
point cloud,
pose and deformation parameters are fused, and a pre-trained joint
estimation model is used to realize rapid prediction of the current
coupling state of the workpiece. Through the built-in consistency
verification and online updating mechanism, the reliability of the prediction result is ensured, and the final reliable state
estimation is converted into a
robot assembly correction instruction in real time, thereby forming a
closed loop of
perception, estimation and control. The application can realize sub-
millimeter level pose measurement and high-precision deformation prediction, significantly improve the dynamic adaptability, robustness and
automation level of the
assembly process, and is suitable for automatic assembly of high-precision components in the fields of
aviation,
aerospace and the like.