Remote Operated Vehicle (ROV) News

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Multimillion-Pound Robotics Hub Unveils Latest Research for the Inspection, Maintenance and Decommissioning of Offshore Energy Infrastructure

A consortium of five universities, working with 35 industrial and innovation partners, has unveiled the latest results from its multimillion-pound research collaboration.

16 Oct 2019

New Robotic Fish Mimics Speed and Movements of Live Specimen

Steering a collaboration with Harvard University biologists, mechanical engineers from the University of Virginia School of Engineering (UVA Engineering) have developed the world’s first robotic fish that imitates the movements and speed of live yellowfin tuna.

19 Sep 2019

New Drone-Based Monitoring System Shows Key Data on Amazon’s Ecosystems

Scot Martin, the Gordon McKay Professor of Environmental Science and Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), visualized an innovative drone-based chemical monitoring system in 2017.

12 Sep 2019

New Machine Learning Tool Could Help Improve Engine Performance, Fuel Economy

Utilizing ALCF supercomputing resources, Argonne researchers are developing the deep learning framework MaLTESE with autonomous—or self-driving—and cloud-connected vehicles in mind. This work could help meet demand to deliver better engine performance, fuel economy and reduced emissions. (Image credit: Shutterstock/Ju Jae-young.)

11 Sep 2019

New Collaboration Boosts Research into Autonomous Vehicles

Researchers at Georgia Institute of Technology (Georgia Tech) will soon have access to a real-life environment to test smart city technologies and autonomous vehicles, thanks to the institute’s recent collaboration with Curiosity Lab at Peachtree Corners and Delta Air Lines.

9 Sep 2019

Researchers Work Toward Faster Ways of Developing Embedded Systems

Whether for a drone or a car, creating image processing software for embedded systems requires plenty of time and is thus very costly.

4 Sep 2019

Quality of AI can be Enhanced by Moving Beyond the Quantitative Approach

Two scientists have concluded in a study that has been published in the journal Nature Machine Intelligence that artificial Intelligence engineers should borrow ideas and know-how from a wide range of social science domains, including those containing qualitative approaches, in order to minimize the potential harm of their designs and to better serve humanity as a whole.

12 Aug 2019