Safe Route Planning For Manipulator Robot Using Seam Carving Technique

Abstract

Route planning is a critical challenge in ensuring the safe operation of collaborative robotics. Seam Carving, a digital image processing (DIP) technique initially developed for content-aware image resizing, identifies paths of lowest energy within an image. In the context of collaborative robotics, regions with fewer obstacles correspond to lower-energy areas, making this technique a promising tool for determining safe routes. This work explores the application of Seam Carving to generate safe trajectories for robotic manipulators, enabling their operation in diverse environments. Both quantitative and qualitative results demonstrate the effectiveness of this approach, establishing it as an innovative method in the field of collaborative robotics.