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by   -   November 6, 2019

The 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (#IROS2019) is being held in Macau this week. The theme this year is “robots connecting people”.

by   -   November 6, 2019

The Wyss Institute’s and SEAS robotics team built different models of the soft actuator powered RoboBee. Shown here is a four-wing, two actuator, and an eight-wing, four-actuator RoboBee model the latter of which being the first soft actuator-powered flying microrobot that is capable of controlled hovering flight. Credit: Harvard Microrobotics Lab/Harvard SEAS
By Leah Burrows

The sight of a RoboBee careening towards a wall or crashing into a glass box may have once triggered panic in the researchers in the Harvard Microrobotics Laboratory at the Harvard John A. Paulson School of Engineering and Applied Science (SEAS), but no more.

by   -   November 6, 2019

By David Gaddy

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.

by   -   November 6, 2019

Joao Ramos (center), co-inventor of HERMES (left), and Little HERMES (right)
Photo: Tony Pulsone

By Jennifer Chu

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   -   November 6, 2019

For last-mile delivery, robots of the future may use a new MIT algorithm to find the front door, using clues in their environment.
Image: MIT News

By Jennifer Chu

In the not too distant future, robots may be dispatched as last-mile delivery vehicles to drop your takeout order, package, or meal-kit subscription at your doorstep — if they can find the door.

by   -   November 4, 2019

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.

by   -   November 4, 2019

The 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (#IROS2019) is being held in Macau this week. The theme this year is “robots connecting people”.

by   -   October 30, 2019

with Guy Hoffman
Robotics Researcher, Cornell University

An Art, Technology, and Culture Colloquium, co-sponsored by the Center for New Music and Audio Technologies and CITRIS People and Robots (CPAR), presented with Berkeley Arts + Design as part of Arts + Design Mondays.

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?

by   -   October 21, 2019
Team HEARTS’s robot Pepper. Photo credits: European Robotics League

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…

by   -   October 21, 2019

Photo shows two prototype assembler robots at work putting together a series of small units, known as voxels, into a larger structure.
Image courtesy of Benjamin Jenett

By David L. Chandler

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.

by   -   October 21, 2019
Catalia Health uses a personal robot assistant, Mabu, to help patients managing chronic diseases.
Courtesy of Catalia Health

By Zach Winn

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   -   October 21, 2019

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.

by , and   -   October 8, 2019

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.

by   -   October 3, 2019

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.



Using Natural Language in Human-Robot Collaboration
November 11, 2019


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