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Transport | AGE OF ROBOTS & Neurorobotics Magazines


How we travel in the second machine age

Transport in an age of robots

Transport is about to have a massive shift as automation becomes more competent and accepted. Many drivers will be displaced as autonomous vehicles become cheaper, more reliable, and government regulations change to accomodate the new technology. Drone technology may soon become your own personal flying car – just like the Jetsons!

Autonomous driving at the bus station

Application case Bus farm: study analyzes Feasibility and savings potential of autonomous driving – KIT, FZI and SSB create innovation at the interface between IT and mobility. Autonomous driving is an important building block of new mobility concepts – not only in the passenger car sector.

Two intelligent vehicles are better than one

Intelligent vehicles get their intelligence from cameras, Light Detection and Ranging (LIDAR) sensors, and navigation and mapping systems. But there are ways to make them even smarter. Researchers at EPFL are working to improve the reliability and fault tolerance of these systems by combining the data they gather with that from other vehicles.

Hamdan bin Mohammed witnesses the first test flight

UAE embraces the future with the world’s first concept flight of the Autonomous Air Taxi (Volocopter). HH Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, attended the maiden concept flight of the Autonomous Air Taxi (AAT), a vehicle that will be used for the world’s first self-flying taxi service set to be introduced by Dubai’s Road and Transport Authority (RTA).

Making Life Multiplanetary With Space X

At the recent International Astronautical Congress (IAC) in Adelaide, Australia, SpaceX CEO and Lead Designer Elon Musk provided an update to his 2016 presentation regarding the long-term technical challenges that need to be solved to support the creation of a...

New software can detect when people text and drive

Computer algorithms developed by engineering researchers at the University of Waterloo can accurately determine when drivers are texting or engaged in other distracting activities. The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.

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