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interview by   -   July 8, 2017

In this episode, MeiXing Dong conducts interviews at the 2017 Midwest Speech and Language Days workshop in Chicago. She talks with Michael White of Ohio State University about question interpretation in a dialogue system; Dmitriy Dligach of Loyola University Chicago about extracting patient timelines from doctor’s notes; and Denis Newman-Griffiths of Ohio State University about connecting words and phrases to relevant medical topics.

by   -   June 27, 2017

MIT CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars

interview by   -   June 24, 2017

In this episode, Audrow Nash interviews Sergey Levine, assistant professor at UC Berkeley, about deep learning on robotics. Levine explains what deep learning is and he discusses the challenges of using deep learning in robotics. Lastly, Levine speaks about his collaboration with Google and some of the surprising behavior that emerged from his deep learning approach (how the system grasps soft objects).

In addition to the main interview, Audrow interviewed Levine about his professional path. They spoke about what questions motivate him, why his PhD experience was different to what he had expected, the value of self-directed learning,  work-life balance, and what he wishes he’d known in graduate school.

by   -   June 21, 2017
Image: MIT News

Laparoscopy is a surgical technique in which a fiber-optic camera is inserted into a patient’s abdominal cavity to provide a video feed that guides the surgeon through a minimally invasive procedure. Laparoscopic surgeries can take hours, and the video generated by the camera — the laparoscope — is often recorded. Those recordings contain a wealth of information that could be useful for training both medical providers and computer systems that would aid with surgery, but because reviewing them is so time consuming, they mostly sit idle.

by   -   June 9, 2017

New design could provide communication support in disaster zones.

by   -   June 5, 2017

GelSight technology lets robots gauge objects’ hardness and manipulate small tools.

by   -   June 2, 2017

Device provides information from a 3-D camera, via vibrating motors and a Braille interface.

by   -   May 31, 2017

New algorithm quickly makes sense of incoming visual data.

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.

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.

interview by   -   April 17, 2017

In this episode, Audrow Nash speaks with Roland Siegwart and Matthias Hüni about Kickstart Accelerator, a Swiss Startup Accelerator. Siegwart leads the Autonomous Systems Lab at ETH Zürich and is one of the initiators of Kickstart Accelerator. Hüni is the vertical lead of Robotics and Intelligent Systems at Kickstart Accelerator and is involved in the program’s operations. Kickstart Accelerator seeks to provide international entrepreneurs with an inlet to the Swiss ecosystem, including connections to industry and academia.

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.

From bustling cities to tiny farming communities, the bright lights of the local stadium are common beacons to the Friday night ritual of high school football. But across the sprawling stretches of rural America, these stadiums are commonly far from doctors who could quickly diagnose and treat head injuries that have brought so much scrutiny to the sport. But by using a remote-controlled robot, a neurologist sitting hundreds of miles from the field can evaluate athletes for concussion with the same accuracy as on-site physicians.

Image courtesy of flora robotica, Photo by Anders Ingvartsen, CITA

Robots and plants are being intricately linked into a new type of living technology that its creators believe could be used to grow a house.

Robot Academy
July 22, 2017

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