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Research & Innovation

by   -   January 18, 2017

Thosha Moodley visits Decos’ futuristic development lab and is greeted by a familiar face: Softbank’s Pepper robot, newly employed as a receptionist.

by   -   January 13, 2017

arm_illustrationSo – you’ve built a robot arm. Now you’ve got to figure out how to control the thing. This was the situation I found myself in a few months ago, during my Masters project, and it’s a problem common to any robotic application: you want to put the end (specifically, the “end effector”) of your robot arm in a certain place, and to do that you have to figure out a valid pose for the arm which achieves that. This problem is called inverse kinematics (IK), and it’s one of the key problems in robotics.

by   -   January 10, 2017

New technique uses biomaterials to make complex devices that could be used for many implantable applications, including drug delivery and stents, and could lead to advances in precision medicine

by   -   January 5, 2017
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.

by   -   December 28, 2016

ros-9th-birthday

This year marks the occasion of ROS turning 9 years old! Over the years, ROS has grown into a strong world-wide community. It’s a community with a large variety of interests: from academic researchers to robotic product developers, as well as the many robot users. Academic use of ROS continues to grow. Citations of the first ROS paper “ROS: An Open-Source Robot Operating System” has grown to 2,871.

by   -   December 21, 2016
Source: vinbot.eu
Source: vinbot.eu

The list of the new H2020 project in robotics from Call 3 2016 and the call under Societal Challenges 2016 is ready. The 17 robotics projects funded under Horizon 2020 will work with a wide variety of research and innovation themes: health robotics, autonomous cars, industrial robotics and logistics to events media productions.

by   -   December 20, 2016

QR-codes that provide autonomous vessels with traffic information on buoys, ships or port buildings. Algorithms for controlling a ship’s unexpected movements. Fleets of autonomous ships that are monitored from on-shore control centres. Researchers at Delft University of Technology are working on the future of shipping. They envision a naval world that will be drastically different from today’s shipping industry.

by   -   December 19, 2016
In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines. Image: CSAIL
In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines. Image: CSAIL

Machines that predict the future, robots that patch wounds and wireless emotion-detectors are just a few of the exciting projects that came out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) this year. Here’s a sampling of 16 highlights from 2016 that span the many computer science disciplines that make up CSAIL.

by   -   December 16, 2016

System correlates recorded speech with images, could lead to fully automated speech recognition.

by   -   December 5, 2016
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL

This fall’s new FAA regulations have made drone flight easier than ever for both companies and consumers. But what if the drones out on the market aren’t exactly what you want?

A new system from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is the first to allow users to design, simulate and build their own custom drone. Users can change the size, shape and structure of their drone based on the specific needs they have for payload, cost, flight time, battery usage and other factors.

by and   -   December 5, 2016

dummy-fish-2

Using ethorobotics, researchers from the BioRobotics Institute and the Zoology Institute of Bonn University published a novel ‘dummy fish’ to study the social behavior of weakly-electric fish Mormyrus rume (Boulenger) (Osteoglossiformes: Mormyridae).

by   -   December 1, 2016
Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines, has long thought that the brain must produce “invariant” representations of faces and other objects, meaning representations that are indifferent to objects’ orientation in space, their distance from the viewer, or their location in the visual field. Image Credit: Massachusetts Institute of Technology
Image: Massachusetts Institute of Technology

MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

by   -   November 28, 2016

Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.

interview by   -   November 26, 2016

wetlab

In this episode, Audrow Nash interviews Dieter Fox, Professor in the Department of Computer Science and Engineering at the University of Washington, about the 100/100 Computer Vision Tracking Challenge. This is a self-imposed challenge to understand 100% of the pixels in an image 100% of the time in video footage; this includes understanding semantic information. Such understanding would allow robots to assist humans more naturally in environments like a home kitchen, wet lab, or in disaster response. To accomplish this challenge, Fox discusses challenges which include modeling, tracking, and detecting articulated objects.

by   -   November 25, 2016

mesh-mould-5

During the 11th Swiss Innovation Forum in Basel, the project team behind the novel building technology Mesh Mould received the Swiss Technology Award 2016.

“Mesh Mould”, developed by researchers at ETH Zurich, allows for building load-bearing concrete elements of any shape without formwork. The building technology has the potential to revolutionise construction of steel-reinforced concrete structures through the combination of the two commonly separated functions of formwork and reinforcement in a robotic fabrication process. In short, Mesh Mould enables architects and engineers to build complex concrete structures without any additional costs. In addition, it allows for the saving of material and therefore contributes to a more sustainable construction.





Sphero
December 14, 2012


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