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Algorithm Controls

Dig below the surface of some of today’s biggest tech controversies and you are likely to find an algorithm misfiring. These errors are not primarily caused by problems in the data that can make algorithms discriminatory, or their inability to improvise creatively. No, they stem from something more fundamental: the fact that algorithms, even when they are generating routine predictions based on non-biased data, will make errors. To err is algorithm.

interview by and   -   May 13, 2017

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 Roman Luchin, CEO of CyberTech Labs., about a robotics development platform called Trik. Trik is intended to be an intermediate step when learning about robotics between Lego Mindstorms and programming on an embedded platform. Trik allows users to program with a graphical interface by ordering blocks. These blocks contain code in several common programming languages (python, F#, Pascal, etc.) and the code can be modified directly.

This is the second of three interviews from the conference.

by   -   May 10, 2017

MIT CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.

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:

In this video, Philip “Robo-Phil” English offers a tutorial on programming your NAO robot for human interation. Enjoy!

Imagine how easy it would be to learn skating, if only it doesn’t hurt everytime you fall. Unfortunately, we, humans,  don’t have that option. Robots, however, can now “learn” their skills on a simulation platform without being afraid of crashing into a wall. Yes, “it learns“! This is possible with the reinforcement learning algorithms provided by OpenAI Gym and the ROS Development Studio.

by   -   April 29, 2017

Engineers and researchers are already speculating about the next phase of UI development, especially for robotics control. So far, the leading candidate is gesture-based control—the use of physical gestures to relay commands.

Northwestern University mechanical engineering professor Todd Murphey and his team are engineering robots that one might say could make robotic assistance as seamless as “humanly” possible. With support from the National Science Foundation (NSF), the team is using novel algorithmic tools, such as a drawing robot, to develop the algorithms, or rules of behavior, that would greatly enhance a robot’s ability to adapt to human unpredictability.

interview by   -   March 18, 2017

In this episode, Audrow Nash interviews Bradley Knox, founder of bots_alive. Knox speaks about an add-on to a Hexbug, a six-legged robotic toy, that makes the bot behave more like a character. They discuss the novel way Knox uses machine learning to create a sense character. They also discuss the limitation of technology to emulate living creatures, and how the bots_alive robot was built within these limitations.

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.

You probably know the Sphero robot. It is a small robot with the shape of a ball. In case that you have one, you must know that it is possible to control it using ROS, by installing in your computer the Sphero ROS packages developed by Melonee Wise and connecting to the robot using the bluetooth of the computer.

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.

This handy video-tutorial course gives an introduction to the Robot Operating System (ROS), including many of the available tools that are commonly used in robotics. With the help of different examples, the tutorials offer a great starting point to learn programming robots. You will learn how to create software including simulation, to interface sensors and actuators, and to integrate control algorithms.

by   -   March 6, 2017
The feedback system enables human operators to correct the robot’s choice in real-time – Jason Dorfman, MIT CSAIL

For robots to do what we want, they need to understand us. Too often, this means having to meet them halfway: teaching them the intricacies of human language, for example, or giving them explicit commands for very specific tasks. But what if we could develop robots that were a more natural extension of us and that could actually do whatever we are thinking?

by   -   February 17, 2017
MIT Professor Regina Barzilay has struck up new research collaborations, drawn in MIT students, launched projects with local doctors, and begun empowering cancer treatment with the machine-learning insight that has already transformed many areas of modern life.
Photo: Lillie Paquette/School of Engineering

Computer scientist Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on a tool largely unrecognized in the oncology world but deeply familiar to hers: machine learning.

IASP 2016 (Part 2 of 3): Trik Embedded Platform
May 13, 2017

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