(Photo: Voith)
A group of maritime industry and technology experts in Germany is working on a project to unlock remote control capabilities for safer and more efficient harbor tug operations.
Backed by the German Federal Ministry for Economic Affairs and Energy (BMWi), the project is being led by Voith in partnership with the Hamburg University of Technology, the Fraunhofer Center for Maritime Logistics and Services, the Federal Office for Hydraulic Engineering, winch and crane manufacturer McGregor, the Marine Training Center (MTC) Hamburg and communication specialists from MediaMobil.
Voith said it will present the FernSAMS technology as part of a live-streamed maneuver simulation at the 12th National Maritime Conference taking place in Rostock on May 10-11. The German acronym FernSAMS (Ferngesteuerte Schlepper bei An- und Ablegemanövern großer Schiffe) refers to the remote-controlled tugs used during mooring and casting-off maneuvers of large ships.
Machine vision developed to support autonomous drones and robots
26 Apr 2021
European research project, led by Finnish group VTT, is âinspired by human vision systemâ.
MISEL project aims to develop a machine vision system for UAVs and more.Autonomously moving drones and other robots must observe their environment and interpret their observations without interruption. Using current technologies, this requires more energy than the batteries of a lightweight device can provide. This is why Finnish research agency VTT Research and its partners are developing a fast, safe and energy-efficient machine vision system inspired by the human vision system.
A machine vision system that observes the visible environment and interprets the observations made is the prerequisite for autonomous devices. To ensure speed and safety, the machine vision systems must use local computing. In self-driving cars, this can be achieved with LiDARs and computers, while in lighter devices, such as
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VTT Develops Machine Vision to Support Autonomous Drones and Robots–Inspired by Human Vision System
April 21, 2021 VTT Develops Machine Vision to Support Autonomous Drones and Robots–Inspired by Human Vision System
A machine vision system that observes the visible environment and interprets the observations made is the prerequisite for autonomous devices. To ensure speed and safety, the machine vision systems must use local computing. In self-driving cars, this can be achieved with LiDARs and computers, while in lighter devices, such as self-flying drones, batteries are not sufficient to power ordinary computer hardware.
Global database for PV system performance
The database brings together photovoltaic performance data and meteorological values from PV systems located in all climate zones. It is being built by a German consortium including the Fraunhofer Center for Silicon Photovoltaics CSP, and the Anhalt University of Applied Sciences.From pv magazine Germany An international consortium of solar energy researchers has created a new platform for analyzing the performance and reliability of PV systems located in different climate zones. The research project, called PV Camper, is aimed at creating is a cloud database that combines highly accurate meteorological .
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19th April 2021 11:53 am 19th April 2021 11:54 am
Cavendish Nuclear is leading a project to employ advanced robotic technology for safer, quicker and more economical sorting of nuclear waste material.
OptiSORT aims to improve productivity by introducing autonomous operation in remote sorting and segregation projects like the Berkeley Active Waste Vaults Retrieval Programme (Image: Cavendish Nuclear)
Babcock subsidiary Cavendish Nuclear has won funding for its new OptiSORT system, which will be carried as part of an industry-wide partnership that includes Bristol Robotics Laboratory.
The funding forms Phase 1 of a 2-part competition awarded by the Nuclear Decommissioning Authority (NDA), in partnership with Innovate UK, to fund innovative ideas that will lead to better ways of sorting and segregating radioactive waste.