ABSTRACT
Underwater environments present numerous challenges for marine robots, such as noisy perception, constrained communication, and uncertainty due to wave motion. Collecting and accurately presenting information to the operator in such unstructured environments is a challenging task. A Decision Support System for autonomous underwater grasping provides visualization capabilities and tools to interact with the available information. Successful operator selected, autonomous underwater grasping trials were conducted using a six degrees of freedom robotic arm and a depth camera.
Supplemental Material
- Alethea Sara Mountford and Miguel Angel Morales Maqueda. 2019. Eulerian modeling of the three-dimensional distribution of seven popular microplastic types in the global ocean. Journal of Geophysical Research: Oceans, Vol. 124, 12 (2019), 8558--8573.Google ScholarCross Ref
- Audrey Nakagawa. 2021. Ocean Plastic: What You Need to Know. https://www.ecowatch.com/ocean-plastic-guide-2653277768.html Retrieved December 2, 2022Google Scholar
- University of Washington. 2022. Trisect. https://trisect-perception-sensor.gitlab.io/trisect-docs/ Retrieved Nov. 24, 2022Google Scholar
- Timothy R. Player, Dongsik Chang, Fuxin Li, and Geoffrey Hollinger. 2022. Real-Time Generative Grasping for Mobile Manipulation. In IEEE/RSJ International Conference on Intelligent Robotics and Systems, Mobile Manipulation and Embodied Intelligence (MOMA): Challenges and Opportunities Workshop (Kyoto, Japan). IROS.Google Scholar
- Reach Robotics. 2020. Bravo7-Datasheet.pdf. https://reachrobotics.com/media/docs/75773/Bravo7-Datasheet.pdf Retrieved Nov. 24, 2022Google Scholar
Index Terms
- Autonomous Underwater Robot Grasping Decision Support System
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