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Industrial Automation

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.

Advances in robotics and AI have led to modern commercial drone technology, which is changing the fundamental way enterprises interact with the world. Drones bridge the physical and digital worlds. They enable companies to combine the power of scalable computing resources with pervasive, affordable sensors that can go anywhere. This creates an environment in which businesses can make quick, accurate decisions based on enormous datasets derived from the physical world.

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.

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.

MIT spinout New Valence Robotics (NVBOTS) has brought to market the only fully automated commercial 3-D printer that’s equipped with cloud-based queuing and automatic part removal, making print jobs quicker and easier for multiple users, and dropping the cost per part.

If you haven’t used a 3-D printer yet, you may be surprised to learn that it isn’t fully automated the way your office’s inkjet is.

Oliver Mitchell talks about construction robotics and new robots being added to the field.

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.

by   -   April 27, 2017

Delivery robots are touted as gaining widespread popularity in the near future. Wheeled models could be suitable for urban areas, while UAVs have great potential in accessing difficult areas and carrying a variety of payloads. But first we have to overcome technical barriers, safety issues and more than a few legal aspects.

Philip Yuan, Chinese architect and professor at Tongji University, along with three researchers from his group, visited ETH Zurich and the NCCR Digital Fabrication. In his lecture, Yuan presented his approach to digital fabrication and its relationship to form, space, structure and materiality through a compilation of recent projects by his office, Archi-Union and works by his research group at Tongji University.

We are happy to announce that Qualifier 3 is now open for the Agile Robotics for Industrial Automation Competition (ARIAC)! ARIAC is a simulation-based competition is designed to promote agility in industrial robot systems by utilizing the latest advances in artificial intelligence and robot planning. The goal is to enable industrial robots on the shop floors to be more productive, more autonomous, and to require less time from shop floor workers.

by   -   April 20, 2017

America’s retailers are closing stores faster than ever while demand for warehouse workers by online retailers is higher than ever. Retailers and logistics companies have been opening facilities at a record pace and in this fast-paced world, warehousing and logistics managers are looking for robotics solutions to remain competitive.

by   -   April 19, 2017

Six to ten years ago, exhibitors at Automate were promoting bin-picking in many, many booths. Bin picking wasn’t mentioned this year because it is an available option these days. For the last six years vendors have been promoting human-robot collaboration in manufacturing. Here’s what I saw this year at the big Automate and ProMat trade shows held last month in Chicago.

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.

by   -   March 13, 2017

Automated cars are hurtling towards us at breakneck speed, with all-electric Teslas already running limited autopilot systems on roads worldwide and Google trialling its own autonomous pod cars. However, before we can reply to emails while being driven to work, we have to have a foolproof way to determine when drivers can safely take control and when it should be left to the car.

Benjamin Dillenburger, Assistant Professor for Digital Building Technologies, ETH Zurich, Switzerland speaking at the session “Ask About: 3D Printing for Architecture2 at the Annual Meeting 2017 of the World Economic Forum in Davos, January 19, 2017. Photo copyright: World Economic Forum / Jakob Polacsek

During the 2017 World Economic Forum, ETH Zurich showcased its latest innovations in Game Technology and robotics. The National Centre of Competence in Research (NCCR) Digital Fabrication was represented by Prof. Benjamin Dillenburger who explained why digital fabrication can be a game changer for the building industry.



Deep Learning in Robotics
June 24, 2017


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