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by   -   September 18, 2018

The multi-joint soft exosuit consists of textile apparel components worn at the waist, thighs and calves that guide mechanical forces from an optimized mobile actuation system attached to a rucksack via cables to the ankle and hip joints. In addition, a new tuning method helps personalize the exosuit’s effects to wearers’ specific gaits. Credit: Harvard Biodesign Lab

By Benjamin Boettner

In the future, smart textile-based soft robotic exosuits could be worn by soldiers, fire fighters and rescue workers to help them traverse difficult terrain and arrive fresh at their destinations so that they can perform their respective tasks more effectively. They could also become a powerful means to enhance mobility and quality of living for people suffering from neurodegenerative disorders and for the elderly.

by   -   September 18, 2018

MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image.
Image: Christine Daniloff

By Rob Matheson

MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight in real-time the relevant regions of the image being described.

by   -   September 18, 2018

Open-Source Software for robots is a de-facto standard in academia, and its advantages can benefit industrial applications as well. The worldwide ROS-Industrial initiative has been using ROS, the Robot Operating System, to this end.

Salesforce         


interview by   -   September 17, 2018


In this interview, Audrow Nash interviews Amruta Moktali, VP of Product Management at Salesforce Analytics, about Salesforce Analytics’ analytic and artificial intelligence software. Moktali discusses the data-pipeline, how data is processed (e.g., noise), and how insights are identified.  She also talks about how dimensions in the data can be controlled for (such as race, gender, or zip-code) to avoid bias and how other dimensions can be selected as actionable so Salesforce can make recommendations—and how they use interpretable methods so that these recommendations can be explained.  Moktali also tells about her professional path, including going from computer engineering and computer science to product management and her experience with intrapreneurship (that is, starting an endeavor within a large organization).

by   -   September 10, 2018

Credit: Wyss Institute Harvard

By Benjamin Boettner

Manipulating delicate tissues such as blood vessels during difficult surgeries, or gripping fragile organisms in the deep sea presents a challenge to surgeons and researchers alike. Roboticists have made inroads into this problem by developing soft actuators on the microscale that are made of elastic materials and, through the expansion or contraction of embedded active components, can change their shapes to gently handle objects without damaging them. However, the specific designs and materials used for their fabrication so far still limit their range of motion and the strength they can exert at scales on which surgeons and researchers would like to use them.

by   -   September 10, 2018
With the DON system, a robot can do novel tasks like look at a shoe it has never seen before and successfully grab it by its tongue.
Photo: Tom Buehler/CSAIL

Humans have long been masters of dexterity, a skill that can largely be credited to the help of our eyes. Robots, meanwhile, are still catching up.

by   -   September 10, 2018

Applications from 166 companies spread across 12 European countries and myriads of exiting robotics ideas was the beginning of the EU-funded initiative ROBOTT-NET in 2016.

by   -   September 10, 2018

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In this post, we demonstrate how deep reinforcement learning (deep RL) can be used to learn how to control dexterous hands for a variety of manipulation tasks. We discuss how such methods can learn to make use of low-cost hardware, can be implemented efficiently, and how they can be complemented with techniques such as demonstrations and simulation to accelerate learning.

by   -   September 10, 2018

Followers of this blog will know that I have been working for some years on simulation-based internal models – demonstrating their potential for ethical robotssafer robots and imitating robots. But pretty much all of our experiments so far have involved only one robot with a simulation-based internal model while the other robots it interacts with have no internal model at all.

interview by   -   September 2, 2018

In this episode, Audrow Nash interview Magnus Egerstedt, Professor at the Georgia Institute of Technology, about a way for anyone interested in swarm robotics to test their ideas on hardware, called the Robotarium.  The Robotarium is a 725-square-foot lab at the the Georgia Institute of Technology that houses nearly 100 rolling and flying robots.  To test their ideas, people can write their own programs, upload them to the Robotarium, and then watch the machines carry out their commands.

In this interview, Egerstedt speaks about the kinds of robots used in the Robotarium, design decisions in making the Robotarium, the differences between doing research in simulation and on hardware, and about lessons learnt and the challenges of building the Robotarium.

This week’s hot story was again from Amir at The Information and there is even more detail in the author’s Twitter thread.

by   -   August 29, 2018

This summer we used our Strider optimizer coupled with rapid prototyping in LEGO to refine its 10-bar linkage.

by   -   August 23, 2018

In this episode of Robots in Depth, Per Sjöborg speaks with Søren Peter Johansen from DTI about implementing robotic solutions.

by   -   August 23, 2018

We are excited to announce the AI Driving Olympics (AI-DO), a new competition focused around AI for self-driving cars. The first edition is going to be at NIPS 2018; the second edition will be at ICRA 2019.

The newsletter The Information reports Uber’s investors are pushing Uber to sell its self-drive division to some other large player. The division has, of course, been nothing but trouble for Uber, and as I have noted several times, Uber is one of the few large players in this space that doesn’t have to build their own tech. They have the #1 brand in selling rides, and selling rides is what the robotaxi business is all about.

Artificial Intelligence and Data Analysis in Salesforce Analytics
September 17, 2018




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