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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 16, 2017
Credit: Wikipedia Commons

In episode three, season three of Talking Machines, we dive into overfitting, take a listener question about unbalanced data and speak with Professor (Emeritus) Tom Dietterich from Oregon State University.

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.

by   -   May 30, 2017

In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It’s more about context than you think!) and hear an interview with Jennifer Chayes of Microsoft.

interview by   -   May 28, 2017


In this episode, Abate De Mey speaks with Rick Faulk, CEO of Locus Robotics, about warehouse automation with collaborative robots. At Locus Robotics, they increase the productivity of workers in e-commerce warehouses by using robot helpers to transport items that are passed to them by the workers. The lightweight autonomous robots move at a similar pace to their co-workers, use LIDAR and computer vision to detect people and avoid collisions. This allows people to share the warehouse floor with the robots. The collaborative robotic system is lightweight and can be adapted to existing warehouses with minimal alterations.

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.

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 30, 2017



Transcript Below.

In this episode, Jack Rasiel speaks with Kostas Daniilidis, Professor of Computer and Information at the University of Pennsylvania, about new developments in computer vision and robotics. Daniilidis’ research team is pioneering new approaches to understanding the 3D structure of the world from simple and ubiquitous 2D images. They are also investigating how these techniques can be used to improve robots’ ability to understand and manipulate objects in their environment. Daniilidis puts this in the context of current trends in robot learning and perception, and speculates how it will help bring more robots from the lab to the “real world”.  How does bleeding edge research become a viable product? Daniilidis speaks to this from personal experience, as an advisor to startups spun out from the GRASP Lab and Penn’s Pennovation incubator.

by   -   April 28, 2017

Talking Machines is entering its third season and going through some changes. Our founding host Ryan is moving on and in his place, Neil Lawrence of Amazon is taking over as co-host. We say thank you and goodbye to Ryan with an interview about his work.

Heavy Water Components Test Reactor decommissioning.

How can we create robots that can carry out important tasks in dangerous environments? Machine learning is supporting advances in the field of robotics. To find out more, we talked to Dr Rustam Stolkin, Royal Society Industry Fellow for Nuclear Robotics, Professor of Robotics at the University of Birmingham, and Director at A.R.M Robotics Ltd, about his work combining machine learning and robotics to create practical solutions to nuclear problems.

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.

interview by   -   April 2, 2017

In this episode, Audrow Nash speaks with Torsten Oelkes, Executive Chairman of CUBE, about the CUBE Tech Fair. The CUBE Tech Fair is a conference that takes place in Berlin in May that seeks to facilitate connections between companies. The Tech Fair also features a start up competition where the winner will be awarded 1,000,000 without exchange of equity or debt. In this interview, Toresten talks about CUBE’s business model, the robotic companies they’re affiliated with, the CUBE Tech Fair, and the 1,000,000 prize.

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.



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 Albert Efimov, Chief Roboticist at Skolkovo, about creating an innovation cluster for robotics companies; Anastasia Uryasheva, CEO of Tsuru, about a waterproof unmanned aerial vehicle; and Borris Rozman, General Director of GNOM, about underwater vehicles.

This is the first of three interviews from the conference.

Imagine a future where self-driving cars, trains and buses are all seamlessly connected through an app, where traffic jams are a thing of the past and redundant car parks have been turned into green spaces. This could be the world we live in by 2030, says Cathis Elmsäter-Svärd, Chairwoman of Drive Sweden and a member of the Global Future Council on Mobility, in this interview.



Deep Learning in Robotics
June 24, 2017


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