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2 2024

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Underwater Human Arm Manipulator – System Calibration

Babiarz Artur, Bieda Robert, Grzejszczak Tomasz, Jaskot Krzysztof, Kozyra Andrzej, Ściegienka Piotr

Advances in Science and Technology. Research Journal

2024

Vol. 18, no 2

36--46

Controlling a remotely operated underwater vehicle (ROV) is an extremely challenging task that requires precise maneuvering and navigation in complex and often unpredictable environments. The operator faces numerous difficulties, including limited visibility and communication constraints, and the need to interpret data from various sensors. This paper describes a method for calibration of a wearable system equipped with inertial measurement unit (IMU) sensors that control the underwater manipulators. To implement a solution that allows the robot to be controlled by the operator's hand movements, it is necessary to measure the movement of the arm. This task is carried out using the IMU sensors, which are mounted in appropriate places on the ROV operator's suit to allow mapping the movement of his/her upper limbs. These movements are transferred to the manipulator's arms on the ROV, making it possible to interact with the environment by - manipulating objects under-water.

Application of Deep Learning Methods for Trajectory Planning Based on Image Information

Babiarz Artur, Kustra Małgorzata, Wen Shuhuan

Advances in Science and Technology. Research Journal

2024

Vol. 18, no 6

247--258

This work aims to develop a mobile robot utilizing neural network technology. The algorithm, programmed in Python on a Raspberry Pi 4B platform, is detailed across four main chapters. These chapters cover the fundamental assumptions of deep learning, the construction of the platform, and the research validating pattern recognition accuracy under various disturbances. The mobile platform employs a neural network to analyze selected traffic signs and translates the recognized patterns into corresponding motor movements.