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Decision Support System for Autonomous Underwater Robot Grasping

Neha Pusalkar, Mark-Robin Giolando, Julie A. Adams

发表年份
2023
引用次数
3

摘要

Underwater environments present numerous challenges for marine robots, such as noisy perception, constrained communication, and uncertainty due to wave motion. Human-in-the-loop systems can improve the efficiency and success rate of underwater grasping; however, collecting information in such unstructured environments and accurately presenting it to the operator remains a challenging task. Decision Support Systems (DSSs) can intelligently process and convey information to the operators to facilitate informed decision making. A DSS for autonomous underwater grasping provides visualization capabilities and tools to interact with the available information. Successful initial DSS-assisted underwater grasping was conducted using a six degrees of freedom robotic arm and a depth camera mounted on a mechanical testbed.

关键词

UnderwaterTestbedComputer scienceRobotTask (project management)Process (computing)VisualizationArtificial intelligenceHuman–computer interactionComputer vision

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