Sofiane Medjram
Papers
1
Total Citations
11
H-Index
1
About
Sofiane Medjram is a researcher in robotics and computer vision, with a focus on markerless vision-based manipulation and dual-arm robotic systems. His most-cited work, "Markerless Vision-Based One Cardboard Box Grasping using Dual Arm Robot" (2020), has garnered 11 citations, demonstrating his contributions to developing practical, vision-driven grasping techniques for industrial and service robotics. Medjram's research addresses the challenge of enabling robots to interact with unstructured environments without relying on artificial markers, advancing the field of autonomous manipulation. His work is particularly relevant to logistics and manufacturing, where flexible, markerless grasping of objects like cardboard boxes can improve efficiency. While his citation count reflects a growing impact, Medjram’s emphasis on dual-arm coordination and vision-based control positions him as a contributor to the next generation of adaptive robotic systems. His research offers valuable insights for students and engineers interested in bridging computer vision and robotic manipulation for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Markerless Vision-Based One Cardboard Box Grasping using Dual Arm Robot11 citations · 2020