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interview by   -   August 20, 2016

hugh_herr1

In this episode, Audrow Nash interviews Hugh Herr, Director of the Biomechatronics Group at MIT. Herr talks about the accident that led to the amputation of both of his legs below the knee and how this shaped his rock climbing and academic career. Herr also discusses orthoses and exoskeletons developed by his research group, as well as the future of bionic technology.

Transcript below.

by   -   August 17, 2016
Generative Art on PBS/YouTube
Generative Art on PBS/YouTube

In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, take a listener question about unbalanced data, plus, speak with Doug Eck of Google’s Magenta project.

by   -   August 8, 2016
Photo credit: Lawrence Tech University IGVC Facebook
Photo credit: Lawrence Tech University IGVC Facebook

By: Chris Bogdon

The International Ground Vehicle Ground Competition (IGVC) is an annual event that brings together teams of college students from all over the globe to compete in an autonomous ground vehicle competition. Teams are tasked to design and construct a fully autonomous unmanned robotic vehicle that can navigate around a challenging outdoor obstacle course under a prescribed time. This year’s IGVC went down in June at Oakland University, and while the competition was stiff, only one team could come out on top. That team was Lawrence Teach University (LTU), whose robot, Bigfoot 2, was built using the Husky UGV robotic platform.

interview by   -   August 6, 2016

Black-rhino-Yoki-WC

In this episode, Audrow Nash interviews Fredrik Gustafsson, Professor in Sensor Informatics at Department of Electrical Engineering in Linköping University, about an initiative to reduce poaching in a rhino sanctuary in Ngulia, Kenya. Gustafsson discusses how he first became involved in this project, how he has worked with the rangers to develop solutions, and the future of this work.

by   -   July 27, 2016
Testing lead in water during the Flint water crisis. Image credit: CC0 Public Domain
Testing lead in water during the Flint water crisis.

In episode fourteen of season two, we discuss Perturb-and-MAP and answer a listener question about classic artificial intelligence ideas being used in modern machine learning. Plus, we speak with Jake Abernethy from the University of Michigan about municipal data and his work on the Flint water crisis.

interview by   -   July 23, 2016

pbo

In this episode, Audrow Nash interviews Emo Todorov, Director of Movement Control Laboratory at the University of Washington, about a physics-based optimization method for controlling robots. Todorov describes how his physics-based method can be used to solve problems and discusses results in simulation and on hardware.

by   -   July 15, 2016

Robot On A Book Shelf Law Robotics

10 years after the release of the EURON Roboethics Roadmap and we are witnessing a technology revolution. In the last 10 years, we’ve seen: Google’s self-driving car, Amazon’s KIVA system, drones, SoftBank’s Pepper, Boston Dynamics’ Atlas, ROSS System and AlphaGo technology. Artificial Intelligence (AI) is no longer a concept in science fiction but the next wave to change our society. More interestingly, the intersection of AI & law will not only affect how people think but also, what people do in their daily lives, how they will behave.

For this interview, we invited Ms. Mady Delvaux-Stehres to share her insights on European perspectives in robot law.

interview by   -   July 9, 2016

rsz_2016-01-26-nutonomy-0145-edit
In this episode, Audrow Nash interviews Karl Iagnemma, a Principal Research Scientist at the Massachusetts Institute of Technology and the CEO of nuTonomy, about autonomous vehicles in urban environments. Iagnemma discusses the market for autonomous cars, why nuTonomy is being developed and, at least initially, deployed in Singapore, and the technology of autonomous cars.

by   -   July 8, 2016
Reuters dataset (in 2D) landmark t-SNE using semantic hashing. Source: vdmaaten.github.io/tsne
Reuters dataset (in 2D) landmark t-SNE using semantic hashing. Source: vdmaaten.github.io/tsne

In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE), take a listener question about statistical physics, plus, speak with Hal Daume of the University of Maryland (who is great to follow on Twitter).

interview by   -   June 25, 2016

icra2016

This is the second of two episodes where Audrow Nash interviews several companies at the International Conference for Robotics and Automation (ICRA). ICRA is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work. The 2016 conference was May 16-21 in Stockholm, Sweden.

by   -   June 20, 2016
Generating faces with Torch. Photo source: torch.ch
Generating faces with Torch. Photo source: torch.ch

In episode twelve of season two, we discuss generative adversarial networks, take a listener question about using machine learning to improve or create products, and lastly, speak with Iain Murray from University of Edinburgh.

interview by   -   June 12, 2016

exhibition_icra16_10

This is the first of two episodes where Audrow Nash interviews several companies at the International Conference on Robotics and Automation (ICRA). ICRA is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work. The 2016 conference was May 16-21 in Stockholm, Sweden.

by   -   June 6, 2016
Source: Pexels/CC0
Source: Pexels/CCO

In episode eleven of season two, we talk about the machine learning toolkit Spark and answer a listener question about the difference between Neural Information Processing Systems (NIPS) and International Conference on Machine Learning (ICML). Plus, we speak with Sinead Williamson from The University of Texas at Austin.

interview by   -   May 29, 2016

banniere-robots

In this episode, Audrow Nash interviews several companies at last year’s INNOROBO, a conference that showcases innovation in robotics.

by   -   May 24, 2016
Stem cell. Source: CC0
Stem cell. Source: CC0

In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.





The OpenROV project
June 14, 2013


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