Felix Von Drigalski, of the Nara Institute of Science and Technology, introduces a versatile, open-source, two-finger gripper for textile manipulation that can sustain significant pushing loads in order to perform tucking tasks, using active perception.
There’s a great deal of concern over artificial intelligence; what it means for our jobs, whether robots will one day replace us in the workplace, whether it will one day lead to robot wars. But current research projects show that artificial intelligence (AI) can also be used for the greater good. Here are five global problems that machine learning could help us solve.
In my previous post I argued that a wide range of AI and Autonomous Systems (from now on I will just use the term AS as shorthand for both) should be regarded as Safety Critical. I include both autonomous software AI systems and hard (embodied) AIs such as robots, drones and driverless cars. Many will be surprised that I include in the soft AI category apparently harmless systems such as search engines. Of course no-one is seriously inconvenienced when Amazon makes a silly book recommendation, but consider very large groups of people. If a truth (such as global warming) is – because of accidental or willful manipulation – presented as false, and that falsehood is believed by a very large number of people, then serious harm to the planet (and we humans who depend on it) could result.
Let’s assume, for a moment, that the vision I’ve laid out in this blog is ridiculously successful, and, over the next few decades, robotic devices take over all aspects of tending land and crops and handling material inputs and produce, and do it using increasingly sustainable practices that begin the process of retaining and enhancing biological diversity and reviving overworked soils. What’s left for farmers to do? Will there even be a need for humans on farms?
In this episode, Ron Vanderkley spoke to Dr Moritz Tenorth, head of software development at Magazino, a Munich-based startup developing mobile pick-and-place robots for item-specific logistics. They discussed his work on the Toru robot and what it means to the warehouse industry today and in the future.
Sriram Narasimhan’s research team are shaking things up in the Civil Engineering Structures Lab at the University of Waterloo. The research, which is led by Ph.D Candidate Kevin Goorts, is developing a new mobile damping system for suppressing unwanted vibrations in lightweight, flexible bridges. Whereas damping systems are often permanent fixtures built into the bridge, their system is designed to be adaptable, autonomous, and better suited for rapid, temporary deployment.
We tend to assume that automation is a process that continues – that once some human activity has been automated there’s no going back. That automation sticks. But, as Paul Mason pointed out in a recent column that assumption is wrong.
In this episode, Abate De Mey interviews Edward Neff, founder of SMAC Corporation. Mr. Neff discusses how breakthroughs in his company have allowed them to develop linear actuators compact enough to be used to actuate robotic fingers. Companies like Apple and Samsung push for the development of robotic fingers to perform lifelike tests on their phones.
Craft brewing could be the perfect industry for collaborative robots. But, does automation mean losing your artisan status? We find how craft breweries can use robotics to scale-up their business without compromising on quality.
National Public Radio (NPR) has published a series of stories about robots and the future of employment in the U.S. and abroad. It begins with the story about the Luddites war on industry and a more recent podcast about the sewing robot DARPA has contracted to research for the production of U.S. military garments.