首页|Study Findings on Robotics Discussed by a Researcher at Sejong University (Camera-Based Net Avoidance Controls of Underwater Robots)
Study Findings on Robotics Discussed by a Researcher at Sejong University (Camera-Based Net Avoidance Controls of Underwater Robots)
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Data detailed on robotics have been presented. According to news reporting from Seoul, South Korea, by NewsRx journalists, research stated, “Fishing nets are dangerous obstacles for an underwater robot whose aim is to reach a goal in unknown underwater environments. This paper proposes how to make the robot reach its goal, while avoiding fishing nets that are detected using the robot’s camera sensors.” Financial supporters for this research include National Research Foundation of Korea; Faculty Research Fund of Sejong University. Our news correspondents obtained a quote from the research from Sejong University: “For the detection of underwater nets based on camera measurements of the robot, we can use deep neural networks. Passive camera sensors do not provide the distance information between the robot and a net. Camera sensors only provide the bearing angle of a net, with respect to the robot’s camera pose. There may be trailing wires that extend from a net, and the wires can entangle the robot before the robot detects the net. Moreover, light, viewpoint, and sea floor condition can decrease the net detection probability in practice. Therefore, whenever a net is detected by the robot’s camera, we make the robot avoid the detected net by moving away from the net abruptly. For moving away from the net, the robot uses the bounding box for the detected net in the camera image. After the robot moves backward for a certain distance, the robot makes a large circular turn to approach the goal, while avoiding the net.”
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