20.500.12556/RUL-164593 Towards autonomous retail stocking and picking methods enabling robust vacuum-based robotic manipulation in densely packed environments With the advent of robotics and artificial intelligence, the potential for automating tasks within human-centric environments has increased significantly. This is particularly relevant in the retail sector where the demand for efficient operations and the shortage of labor drive the need for rapid advancements in robot-based technologies. Densely packed retail shelves pose unique challenges for robotic manipulation and detection due to limited space and diverse object shapes. Vacuum-based grasping technologies offer a promising solution but face challenges with object shape adaptability. The study proposes a framework for robotic grasping in retail environments, an adaptive vacuum-based grasping solution, and a new evaluation metric—termed grasp shear force resilience—for measuring the effectiveness and stability of the grasp during manipulation. The metric provides insights into how retail objects behave under different manipulation scenarios, allowing for better assessment and optimization of robotic grasping performance. The study’s findings demonstrate the adaptive suction cups’ ability to successfully handle a wide range of object shapes and sizes, which, in some cases, overcome commercially available solutions, particularly in adaptability. Additionally, the grasp shear force resilience metric highlights the effects of the manipulation process, such as in shear force and shake, on the manipulated object. This offers insights into its interaction with different vacuum cup grasping solutions in retail picking and restocking scenarios. service robotics retail automation grasping dense object detection vacuum actuators knowledge representation servisna robotika trgovinska avtomatizacija prijemanje zaznavanje gosto porazdeljenih objektov vakuumski aktuatorji predstavitev znanja true false true Angleški jezik Slovenski jezik Članek v reviji 2024-11-04 15:10:01 2024-11-04 15:10:07 2024-11-22 14:54:58 0000-00-00 00:00:00 2024 0 0 21 str. iss. 20, art. 6687 Vol. 24 Okt.-2 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 007.52 1424-8220 10.3390/s24206687 213629443 sensors-24-06687-v2.pdf sensors-24-06687-v2.pdf 1 C94709B66252AF361ADFA28CA8AE2FBF 4ec9cf815de23d18b95a2227726c1847c56f3703c8c0e8573f8e313aa169d27a 57b4cee3-9ab6-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=195131 https://www.mdpi.com/1424-8220/24/20/6687 1 2a226fcd-9ab6-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=195130 Fakulteta za elektrotehniko 0 0 0