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Item type:Publication, Access status: without files , Experimental open-source framework for underwater pick-and-place studies with lightweight UVMS – an extensive quantitative analysisThe rise of lightweight, low-cost underwater vehicle-manipulator systems (UVMS) has made autonomous underwater manipulation increasingly accessible. Yet, most current research remains limited to isolated tasks, such as trajectory tracking or compensation of unknown payloads. Detailed experimental analyses that go beyond a proof-of-concept are particularly rare.We present a comprehensive open-source software framework for fully automated pick-and-place studies. We build upon our previous work on a task-priority control framework and extend it to enable fully autonomous manipulation. This includes a high-level decision-making process to coordinate the pick-and-place sequence and a grasp detection method to verify the successful pick-up of the object. We demonstrate this framework on the widely-used platform of a BlueROV2 and an Alpha 5 manipulator.Extensive quantitative experimental studies (100+ trials) show the picking and placing to be highly accurate, with mean position errors of <5 mm and <10 mm, respectively. We additionally validate our grasp detection approach and analyze trajectory tracking sensitivity to varying payloads and speeds. These results provide a baseline of what accuracy is currently achievable with state-of-the-art lightweight hardware under ideal research conditions. The code is available at https://github.com/HippoCampusRobotics/uvms.Publicationtype: Conference Paper126 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Dynamic end effector trajectory tracking for small-scale underwater vehicle-manipulator systems (UVMS): modeling, control, and experimental validation(IEEE, 2025-05); ; ; ; With the ongoing miniaturization, recently, lightweight, commercial underwater vehicle-manipulator systems (UVMSs) have emerged that massively lower the entry barrier into underwater manipulation. Within this research field, dynamic and accurate end effector trajectory tracking is a crucial first step in developing autonomous capabilities. In this context, coupling effects between the manipulator and vehicle dynamics are expected to pose a considerable challenge. However, UVMS control strategies analyzed in detailed experimental studies are particularly rare. We present a holistic approach based on task-priority control that we describe and discuss from modeling towards extensive experimental studies, which are crucial for the notoriously hard-to-simulate underwater domain. We demonstrate this framework on the widely used platform of a BlueROV2 and an Alpha 5 manipulator. The end effector trajectory tracking is shown to be highly accurate, with <4 cm median position error. Moreover, our experimental findings on the consideration of dynamic coupling within UVMS control motivate further research. The code is available at https://github.com/HippoCampusRobotics/uvms. A video of the results is available at https://youtu.be/IDM1I5KqlVI.Publicationtype: Conference Paper108