Implementation of a Pick-and-Place Robotic System Using Franka Arm and Vision-Based Object Detection: Technical report - 2025

dc.contributor.authorJimoh, Azeez
dc.contributor.authorReza Zarei, Ahmad
dc.contributor.authorPlosila, Juha
dc.contributor.authorHaghbayan, Hashem
dc.contributor.facultyfi=Teknillinen tiedekunta|en=Faculty of Technology|-
dc.date.accessioned2025-02-12T05:49:05Z
dc.date.available2025-02-12T05:49:05Z
dc.date.issued2025-02-12
dc.description.abstractThis report presents the design, implementation, and evaluation of a pick-and-place robotic system using the Franka Emika robotic arm and a Stereolabs ZED2 camera for object detection and localization. The system employs 3D depth sensing through the ZED2 camera, mounted on the robot’s end-effector, to provide real-time 3D position data of the target object. These coordinates are transformed into the robot’s base frame using a calibrated transformation matrix, enabling precise manipulation. The motion planning is executed using the Robot Operating System (ROS) framework, ensuring smooth and collision-free trajectories. The system dynamically updates the object’s position during the pick-and-place sequence, allowing for accurate handling even in cases of displacement. Experimental results demonstrate the system’s capability to execute high-precision pickand-place tasks, highlighting its suitability for advanced applications such as precisionassembly, warehouse automation, and medical robotics.-
dc.description.accessibilityfeatureei tietoa saavutettavuudesta
dc.format.contentfulltext-
dc.identifier.olddbid196987
dc.identifier.oldhandle10024/180029
dc.identifier.urihttps://www.utupub.fi/handle/11111/622
dc.identifier.urnURN:ISBN:978-952-02-0065-7-
dc.language.isoeng-
dc.publisherfi=Turun yliopisto|en=University of Turku|-
dc.source.identifierhttps://www.utupub.fi/handle/10024/180029
dc.titleImplementation of a Pick-and-Place Robotic System Using Franka Arm and Vision-Based Object Detection: Technical report - 2025-

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