When learning to follow natural language instructions, neural networks tend to be very data hungry – they require a huge number of examples pairing language with actions in order to learn effectively. This post is about reducing those heavy data requirements by first watching actions in the environment before moving on to learning from language data. Inspired by the idea that it is easier to map language to meanings that have already been formed, we introduce a semi-supervised approach that aims to separate the formation of abstractions from the learning of language.
Rescuing victims from a burning building, a chemical spill, or any disaster that is inaccessible to human responders could one day be a mission for resilient, adaptable robots. Imagine, for instance, rescue-bots that can bound through rubble on all fours, then rise up on two legs to push aside a heavy obstacle or break through a locked door.
By K.N. McGuire, C. De Wagter, K. Tuyls, H.J. Kappen, G.C.H.E. de Croon
Greenhouses, search-and-rescue teams and warehouses are all looking for new methods to enable surveillance in a manner that is quick and safe for the objects and people surrounding them. Many of them already found their way into robotics, but wheeled ground-bound systems have limited maneuverability. Ideally it would be great if flying robots, a.k.a. micro aerial vehicles (MAV) can take advantage of their 3rd dimension to perform surveillance.
As we continue to develop social robots designed for connectedness, we struggle with paradoxes related to authenticity, transience, and replication. In this talk, I will attempt to link together 15 years of experience designing social robots with 100-year-old texts on transience, replication, and the fear of dying. Can there be meaningful relationships with robots who do not suffer natural decay? What would our families look like if we all choose to buy identical robotic family members? Could hand-crafted robotics offer a relief from the mass-replication of the robot’s physical body and thus also from the mass-customization of social experiences?
The smart city of Milton Keynes hosted the first edition of the European Robotics League (ERL)- Smart Cities Robotic Challenge (SciRoc Challenge). Ten European teams met in the shopping mall of Centre:mk to compete against each other in five futuristic scenarios in which robots assist humans serving coffee orders, picking products in a grocery shop or bringing medical aid. This robotics competition aims at benchmarking robots using a ranking system that allows teams to assess their performance and compare it with others. Find out the winning teams of the SciRoc Challenge 2019…
Today’s commercial aircraft are typically manufactured in sections, often in different locations — wings at one factory, fuselage sections at another, tail components somewhere else — and then flown to a central plant in huge cargo planes for final assembly.
The Mabu robot, with its small yellow body and friendly expression, serves, literally, as the face of the care management startup Catalia Health. The most innovative part of the company’s solution, however, lies behind Mabu’s large blue eyes.
“Within the framework of the European project ROBOTT-NET we are developing software and robotic solutions for the prevention and control of rodents in enclosed spaces”, says Marco Lorenzo, Service Supervisor at Irabia Control De Plagas.
By Eric Liang and Richard Liaw and Clement Gehring
In this blog post, we explore a functional paradigm for implementing reinforcement learning (RL) algorithms. The paradigm will be that developers write the numerics of their algorithm as independent, pure functions, and then use a library to compile them into policies that can be trained at scale. We share how these ideas were implemented in RLlib’s policy builder API, eliminating thousands of lines of “glue” code and bringing support for Keras and TensorFlow 2.0.
From Mexican immigrant to MIT, from Girl Power in Latin America to robotics entrepreneurs in Africa and India, the 2019 annual “women in robotics you need to know about” list is here! We’ve featured 150 women so far, from 2013 to 2018, and this time we’re not stopping at 25. We’re featuring 30 inspiring #womeninrobotics because robotics is growing and there are many new stories to be told.
Our work published recently in Science Robotics describes a new form of computer, ideally suited to controlling soft robots. Our Soft Matter Computer (SMC) is inspired by the way information is encoded and transmitted in the vascular system.