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Talk

by   -   June 26, 2015

In this episode, Ron Vanderkley speaks with Dr. Lei Cui from Curtin University about his team’s work on 3D printable hand orthosis for rehabilitation, a  task-oriented 4-DOF robotic device for upper-limb rehabilitation and a 3-DOF platform providing multi-directional perturbations for research into balance rehabilitation. They also discuss a high-speed untethered robotic fish for river monitoring and an amphibious robot for monitoring the Swan-Canning River System.

by   -   June 19, 2015

digital_media_advertising_data_AI_machine_socialIn episode thirteen we talk with Claudia Perlich, Chief Scientist at Dstillery. We talk about her work using machine learning in digital advertising and her approach to data in competitions.

by   -   June 12, 2015

cyphy droneIn this episode, Audrow Nash speaks with Helen Greiner, CEO and founder of CyPhy Works and co-founder of iRobot, about CyPhy Work’s LVL 1 photography drone. The LVL 1 drone has six propellers that are angled up and rotated slightly, which allows the drone to fly without tilting; flying without tilting is significant because, Helen says, it makes the drone more intuitive to control, as well as removing the need for a costly and high-maintenance camera stabilizing gimbal system. 

by   -   June 4, 2015
Source: http://cs.stanford.edu/people/ang/
Source: Stanford University  

In episode twelve we talk with Andrew Ng, Chief Scientist at Baidu, about how speech recognition is going to explode the way we use mobile devices and his approach to working on the problem.

by   -   May 29, 2015

Robobusiness

In this episode, Audrow Nash speaks to several robotics companies at the company showcase at RoboBusiness 2014, which took place in Boston, Massachusetts.

by   -   May 22, 2015

data_eye_privacyIn episode eleven we chat with Neil Lawrence from the University of Sheffield. We talk about the problems of privacy in the age of machine learning, and the responsibilities that come with using machine learning tools and making data more open. We learn about the Markov decision process (and what happens when you use it in the real world and it becomes a partially observable Markov decision process) and take a listener question about finding insights into features in the black boxes of deep learning.

by   -   May 15, 2015
Image: MIT d'Arbeloff Laboratory
Image: MIT d’Arbeloff Laboratory

Link to audio file (19:55). Transcript below.

In this episode, Audrow Nash interviews Federico Parietti, a PhD candidate at the Massachusetts Institute of Technology, about his research on supernumerary robotic limbs that can be used in manufacturing and for rehabilitative purposes, among other uses.

by   -   May 7, 2015

Talking Machines

In Episode 10 we talk with David Blei of Columbia University. We talk about his work on latent dirichlet allocation, topic models, the PhD program in data that he’s helping to create at Columbia and why exploring data is inherently multidisciplinary. We learn about Markov Chain Monte Carlo and take a listener question about how machine learning can make humans more creative.

by   -   May 1, 2015

In this episode, Audrow Nash interviews Todd Hylton, Senior Vice President at Brain Corporation, about neuromorphic computers. They discuss the robotics development board bStem, which approximates a neuromorphic computer, as well as the eyeRover: a small balancing robot that demonstrates how the bStem can be used in mobile robots.

by   -   April 28, 2015
Baymax, Chris Atkeson and Hiro from Disney's Big Hero 6. Source: Chris Atkeson
Baymax, Chris Atkeson and Hiro from Disney’s Big Hero 6. Source: Chris Atkeson

Baymax, the lovable, inflatable robot star of Disney’s recent hit, Big Hero 6, is far from a movie fantasy. With their soft cushiony bodies, robots like Baymax have very real prospects as future care-givers, space-travellers and more. Robohub’s Helmut Hauser spoke to the man who inspired Baymax – Chris Atkeson, Professor of Robotics at Carnegie Mellon University – about the hard science behind soft robotics.

by   -   April 24, 2015

Kaggle  The Home of Data ScienceIn episode nine we talk with George Dahl, of  the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defended his thesis at the end of March 2015. (Congrats George!) We learn about how networks and graphs can help us understand latent properties of relationships, and we take a listener question about just how you find the right algorithm to solve a problem (Spoiler: start simple.)

by   -   April 17, 2015
image: Soft Robotics Toolkit
image: Soft Robotics Toolkit

In this podcast, Ron Vanderkley speaks to Donal Holland of Harvard University about his team’s work on the Soft Robotics Toolkit.

by   -   April 9, 2015

Plates-Spinning-on-SticksIn episode eight we talk with Charles Sutton, a professor in the School of Informatics University of Edinburgh about computer programming and using machine learning to better understand how it’s done well.

by   -   April 3, 2015

eu-sparc

In this episode, Sabine Hauert interviews main stakeholders in European Robotics at the European Robotics Forum in Vienna.

by   -   March 26, 2015
Source: Automatic Statistician.
Source: Automatic Statistician.

In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engineering in the Department of Engineering at the University of Cambridge. His project, The Automatic Statistician, aims to use machine learning to take raw data and give you statistical reports and natural languages summaries of what trends that data shows.



Robots Podcast: The DARPA Robotics Challenge
December 13, 2013



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