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Sensing

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A subject plays a computer game as part of a neural security experiment at the University of Washington.
Patrick Bennett, CC BY-ND

By Eran Klein, University of Washington and Katherine Pratt, University of Washington

 

In the 1995 film “Batman Forever,” the Riddler used 3-D television to secretly access viewers’ most personal thoughts in his hunt for Batman’s true identity. By 2011, the metrics company Nielsen had acquired Neurofocus and had created a “consumer neuroscience” division that uses integrated conscious and unconscious data to track customer decision-making habits. What was once a nefarious scheme in a Hollywood blockbuster seems poised to become a reality.

Franklin Robotics has launched a Kickstarter campaign for Tertill, their solar-powered, garden-weeding robot.

Credit: sk.ru


In this episode, Audrow Nash and Christina Brester conduct interviews at the 2016 International Association of Science Parks and Areas of Innovation conference in Moscow, Russia. They speak with Vadim Kotenev of Rehabot and Motorica about prosthetic hands and rehabilatative devices; and Vagan Martirosyan, CEO of TryFit, a company that uses robotic sensors to help people find shoes that fit them well.

Would you like to make a robot to grasp something, but you think that is impossible to you just because you can’t buy a robot arm? I’m here to tell that you can definitely achieve this without buying a real robot. Let’s see how:

I was recently asked about the differences between RADAR and LIDAR. I gave the generic answer about LIDAR having higher resolution and accuracy than RADAR. And RADAR having a longer range and performing better in dust and smokey conditions. When prompted for why RADAR is less accurate and lower resolution, I sort of mumbled through a response about the wavelength. However, I did not have a good response, so this post will be my better response.

As the last in our series of blog posts on machine learning in research, we spoke to Dr Nathan Griffiths to find out more about machine learning in transport. Nathan is a Reader in the Department of Computer Science at the University of Warwick, whose research into the application of machine learning for autonomous vehicles (or “driverless cars”) has been supported by a Royal Society University Research Fellowship.

If you have always wanted to know how a SICK LIDAR worked inside, now is your chance. If you did not always want to know, this is still your chance to see. Keep reading for some cool pictures.

by   -   March 15, 2017

If you take humans out of the driving seat, could traffic jams, accidents and high fuel bills become a thing of the past? As cars become more automated and connected, attention is turning to how to best choreograph the interaction between the tens or hundreds of automated vehicles that will one day share the same segment of Europe’s road network.

by   -   March 13, 2017

Automated cars are hurtling towards us at breakneck speed, with all-electric Teslas already running limited autopilot systems on roads worldwide and Google trialling its own autonomous pod cars. However, before we can reply to emails while being driven to work, we have to have a foolproof way to determine when drivers can safely take control and when it should be left to the car.

by   -   March 9, 2017

This comprehensive tutorial offers a step-by-step guide to using UgCS software to plan and fly UAV drone-survey missions.

by   -   February 22, 2017

Since the launch of the Shell Ocean Discovery XPRIZE at the American Geophysical Union Fall Meeting in San Francisco in December 2015, individuals from around the world have been racing to form Teams and develop a range of groundbreaking technologies to access the deep-sea. Registration closed at the end of September 2016 with 32 bold Teams stepping forward to take on the challenge of mapping and imaging our ocean as never before.

Jussi Aaltonen explaining some robotics-specific topics.
Jussi Aaltonen explaining some robotics-specific topics.

The UNEXMIN (Underwater Explorer for Flooded Mines) project is almost one year old. After a busy first year of work, UNEXMIN is on-schedule to deliver the first mechanical UX-1 prototype. Jussi Aaltonen, from TUT (Tampere University of Technology), leaders of WP1 – Robotic Functions Validations, talks about what has been done over the past year concerning his team’s work in UNEXMIN’s development scene.

interview by   -   January 21, 2017

totus_cube

In this episode, Ron Vanderkley spoke to Dr Moritz Tenorth, head of software development at Magazino, a Munich-based startup developing mobile pick-and-place robots for item-specific logistics. They discussed his work on the Toru robot and what it means to the warehouse industry today and in the future.

Image: Clearpath
Image: Clearpath

Sriram Narasimhan’s research team are shaking things up in the Civil Engineering Structures Lab at the University of Waterloo. The research, which is led by Ph.D Candidate Kevin Goorts, is developing a new mobile damping system for suppressing unwanted vibrations in lightweight, flexible bridges. Whereas damping systems are often permanent fixtures built into the bridge, their system is designed to be adaptable, autonomous, and better suited for rapid, temporary deployment.

interview by   -   December 23, 2016

wheelchair

In this episode, Christina Brester interviews Vladimir Stanovov, PhD student and researcher at the Siberian State Aerospace University (Krasnoyarsk, Russia). Stanovov speaks about a speech-controlled wheelchair, which seeks to provide people that are quadriplegic, that is people with partial or total loss of use of their limbs and torso, with the possibility to control their wheelchairs through voice commands. In this interview Stanovov discusses the basic parts of the speech-controlled wheelchair, the fuzzy controller he created, and the trials they had in the medical center.



Deep Learning in Robotics
June 24, 2017


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