Comparison of graph fitting and sparse deep learning model for robot pose estimation

HIGHLIGHTS

• who: Jan Rodziewicz-Bielewicz and Marcin Korzeu0144 from the Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ulZu0307ou0142nierska, Szczecin, Poland have published the research: Comparison of Graph Fitting and Sparse Deep Learning Model for Robot Pose Estimation, in the Journal: Sensors 2022, 22, 6518. of /2022/
• what: The paper presents a simple yet robust computer vision system for robot arm tracking with the use of RGB-D cameras. In the machine learning part the authors compare two approaches: fitting the robot pose to the point cloud and fitting the . . .
  

   

  

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