news    views    talk    learn    |    about    contribute     republish     crowdfunding     archives     events

Research & Innovation

by   -   July 24, 2017
Adriana Schulz, an MIT PhD student in the Computer Science and Artificial Intelligence Laboratory, demonstrates the InstantCAD computer-aided-design-optimizing interface. Photo: Rachel Gordon/MIT CSAIL

Almost every object we use is developed with computer-aided design (CAD). Ironically, while CAD programs are good for creating designs, using them is actually very difficult and time-consuming if you’re trying to improve an existing design to make the most optimal product. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Columbia University are trying to make the process faster and easier: In a new paper, they’ve developed InstantCAD, a tool that lets designers interactively edit, improve, and optimize CAD models using a more streamlined and intuitive workflow.

The Weekly Drone Roundup is a newsletter from the Center for the Study of the Drone. It covers news, commentary, analysis and technology from the drone world.

by   -   July 20, 2017

Given a still image of a dish filled with food, CSAIL team’s deep-learning algorithm recommends ingredients and recipes.

by   -   July 19, 2017
Image: Jose-Luis Olivares/MIT

In recent years, the best-performing artificial-intelligence systems — in areas such as autonomous driving, speech recognition, computer vision, and automatic translation — have come courtesy of software systems known as neural networks.

The Weekly Drone Roundup is a newsletter from the Center for the Study of the Drone. It covers news, commentary, analysis and technology from the drone world.

by   -   July 14, 2017

A quick, hassle-free way to stay on top of robotics news, our robotics digest is released on the first Monday of every month. Sign up to get it in your inbox.

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.

In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (and how how we can think about it in our daily lives). Plus, we answer a listener question about how to make sure your neural networks don’t get fooled. Our guest for this episode is Jeff Dean,  Google Senior Fellow in the Research Group, where he leads the Google Brain project. We talk about a closet full of robot arms (the arm farm!), image recognition for diabetic retinopathy, and equality in data and the community.

At the Empa and Eawag NEST building in Dübendorf, eight ETH Zurich professors as part of the Swiss National Centre of Competence in Research (NCCR) Digital Fabrication are collaborating with business partners to build the three-storey DFAB HOUSE. It is the first building in the world to be designed, planned and built using predominantly digital processes.

Figure 8: Example of a 15 robot swarm of GRITSBots on the arena surface of the second instantiation of the Robotarium.

When developing algorithms for coordinating the behaviors of swarms of robots it is crucial that the algorithms are actually deployed and tested on real hardware platforms. Unfortunately, building and maintaining a swarm robotics testbed is a resource-intense proposition and, as a consequence, resources rather than ideas tend to be the bottleneck and swarm robotics research does not progress at the rate it could. The Robotarium sets out to remedy this problem by providing remote access to a large team of robots, where users can upload their code, run the experiments remotely, and get the scientific data back. This article describes the structure and architecture of the Robotarium as well as discusses what constitutes an effective, remotely accessible research platform.

This paper won the IEEE Robotics & Automation Best Multi-Robot Systems Award at ICRA 2017.

A new robot under development can send information on the stiffness, look and feel of a patient to a doctor located kilometres away. Image credit: Accrea

A robotic doctor that can be controlled hundreds of kilometres away by a human counterpart is gearing up for action. Getting a check-up from a robot may sound like something from a sci-fi film, but scientists are closing in on this real-life scenario and have already tested a prototype.

Why are spiders’ webs so complex? Might they have other functionalities besides being a simple trap? One of the most interesting answers to this question is that spiders might use their webs as computational devices.

by   -   June 27, 2017

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

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.

Everybody needs a helping hand when they get older – but in years to come that helping hand may be attached to a robotic arm.



Robot Academy
July 22, 2017


Are you planning to crowdfund your robot startup?

Need help spreading the word?

Join the Robohub crowdfunding page and increase the visibility of your campaign