Robohub.org
 

Drones For Good Award announces semi-finalists

by
21 October 2014



share this:

drones_for_Good_UAE2The semi-finalists of the UAE Drones For Good award have been announced. Here is a highlight of the international contenders; you can find the full list of semi-finalists on the UAE Drones For Good website.

Delivery Catchment System

Sector: Logistics

Project Description: Integrating drone deliveries with a package catchment system.

Drones for saving lives at sea

Sector: Disaster Relief

Project Description: Use drones for detecting survivors, search and rescue on the coast.

The Friends Project

Sector: Disaster Relief

Project Description: The First Response Infrastructure Emergency Network of Drone Systems, or FRIENDS, will provide a solution to the communications and transport problems that follow a disaster.

Quantum – Transition UAV

Sector: Environment

Project Description: Transition UAV is a drone system developed for civil and agricultural use that enables detailed monitoring and evaluation of crop conditions.

AeroAtena

Sector: Public Health

Project Description: A waterproof drone used to detect interferences in protected areas, observation and communication with casualty.

Highly Maneuverable UAV for indoor/outdoor environment and urban rescue missions

Sector: Disaster Relief

Project Description: The main goal of this UAV is to locate and rescue persons from buildings on fire, collapsed building, mines, or other urban and industrial entrapments.

Waterfly

Sector: Environment

Project Description: A drone designed to scan and probe lakes and rivers for emerging pollutants and threats with a goal to monitor, research and protect water quality.

http://vimeo.com/107679080

 

Landmines Detection

Sector: Humanitarian Aid

Project Description: Using drones for detecting underground mines through a smart integrated system.

Flyability

Sector: Disaster Relief

Project Description: A small, lightweight drone that has the unique ability to collide with obstacles without losing its stability, and which is safe to fly in close contact with humans.

Fully autonomous cargo transportation helicopter system

Sector: Logistics

Project Description: A fully autonomous cargo transportation system.

Rapid Response Drone Mapping and Tracking

Sector: Disaster Relief

Project Description: Drones to improve disaster relief through mapping and detection of disaster areas.

Dronologista wishes all the semifinalists good luck!



tags: , , ,


Dronologista Aviation & Drone Enthusiast
Dronologista Aviation & Drone Enthusiast





Related posts :



Robot Talk Episode 64 – Rav Chunilal

In the latest episode of the Robot Talk podcast, Claire chatted to Rav Chunilal from Sellafield all about robotics and AI for nuclear decommissioning.
31 December 2023, by

AI holidays 2023

Thanks to those that sent and suggested AI and robotics-themed holiday videos, images, and stories. Here’s a sample to get you into the spirit this season....
31 December 2023, by and

Faced with dwindling bee colonies, scientists are arming queens with robots and smart hives

By Farshad Arvin, Martin Stefanec, and Tomas Krajnik Be it the news or the dwindling number of creatures hitting your windscreens, it will not have evaded you that the insect world in bad shape. ...
31 December 2023, by

Robot Talk Episode 63 – Ayse Kucukyilmaz

In the latest episode of the Robot Talk podcast, Claire chatted to Ayse Kucukyilmaz from the University of Nottingham about collaboration, conflict and failure in human-robot interactions.
31 December 2023, by

Interview with Dautzenberg Roman: #IROS2023 Best Paper Award on Mobile Manipulation sponsored by OMRON Sinic X Corp.

The award-winning author describe their work on an aerial robot which can exert large forces onto walls.
19 November 2023, by

Robot Talk Episode 62 – Jorvon Moss

In the latest episode of the Robot Talk podcast, Claire chatted to Jorvon (Odd-Jayy) Moss from Digikey about making robots at home, and robot design and aesthetics.
17 November 2023, by





©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association