Care-O-bot 4 celebrates its premiere as a shopping assistant
By Fraunhofer IPA via RoboHub: In January 2015, Fraunhofer IPA presented a prototype of the “Care-O-bot 4” service robot. The charming helper is now proving its worth in the real world. “Paul” the robot has been greeting customers in Saturn-Markt Ingolstadt since the end of October 2016 and directing them towards their desired products.
Care-O-bot 4, alias Paul, approaches Saturn customers and welcomes them to the store. If they ask him about a certain product, he accompanies the customer to the department and points them in the direction of the relevant shelf. As he indulges in small talk about the weather, or another subject, Paul turns out to be a most charming contact partner. However, he prefers to leave actual customer service to his human colleagues. Paul is able to call another member of staff for support via “Voice over IP”. Before Paul bids a fond farewell and returns to the store entrance, he still has time to ask for feedback. In this way, he discovers whether customers appreciated the interaction or not. Martin Wild, Chief Digital Officer at Media-Saturn-Holding: “With Paul, we are offering our customers the opportunity to get to know one of the most advanced robots in the world.” Cont'd...
Relay Is a Robot Butler Coming to a Hotel Near You
Nathaniel Mott for Inverse: Ordering room service can be a lesson in embarrassment. It could arrive right after you’ve taken off your clothes, while you’re indisposed, or while you’re in the middle of other hotel-related behavior. Thankfully, a robot butler named Relay is here to take that embarrassment (and other inconveniences) out of hotel deliveries.
Relay is basically an autonomous locker on wheels. Guests ask for an item, a hotel worker puts the object inside Relay’s compartment, and then the robot scoots over to the guest’s room with its cargo. It then calls the guests to let them know their item is ready before heading back down to the lobby so it can recharge before its next assignment. Cont'd...
ASU Robot learns to shoot hoops
ASU Interactive Robotics Lab: The video shows a bi-manual robot that learns to throw a ball into the hoop using reinforcement learning. A novel reinforcement learning algorithm "Sparse Latent Space Policy Search" allows the robot to learn the task within only about 2 hours.
The robot repeatedly throws the ball and receives a reward based on the distance of the ball to the center of the hoop. Algorithmic details about the method can be found here:
RR Floody's Powerful New Flexible Feeder System Pairs Mitsubishi Electric Robot and Cognex Vision System
With manufacturers more and more concerned about being able to change product and component mix on the fly, they are demanding a more flexible feeder bowl solution that allows for changing component recognition without expensive and time-consuming retooling of the system every time.
Tru-Trac Keeps Frankenstein Alive
This machine was assembled from various parts from other machines, so "Frankenstein" was really the only logical name for it.
Deepmind and Blizzard to Release Starcraft II as an AI Research Environment
From DeepMind: For almost 20 years, the StarCraft game series has been widely recognised as the pinnacle of 1v1 competitive video games, and among the best PC games of all time. The original StarCraft was an early pioneer in eSports, played at the highest level by elite professional players since the late 90s, and remains incredibly competitive to this day. The StarCraft series’ longevity in competitive gaming is a testament to Blizzard’s design, and their continual effort to balance and refine their games over the years. StarCraft II continues the series’ renowned eSports tradition, and has been the focus of our work with Blizzard.
DeepMind is on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be told how. Games are the perfect environment in which to do this, allowing us to develop and test smarter, more flexible AI algorithms quickly and efficiently, and also providing instant feedback on how we’re doing through scores... (more)
Mobility for Robots
IPRs Robot Transport Units (RTU) Increase Both the Action Radius of Robots and the Productivity of Loading Stations
Brushless Motors: What's the Big Difference?
The electronic switching of currents to the coils of the BLDC motor is more efficient than the mechanical switching of the DC motor.
Self-drive delivery van can be 'built in four hours'
Jane Wakefield for BBC News: A self-drive electric delivery van, that could be on UK streets next year, has been unveiled at the Wired 2016 conference in London.
The vehicle's stripped-back design and lightweight materials mean it can be assembled by one person in four hours, the firm behind it claims.
The vehicles will be "autonomous-ready", for when self-drive legislation is in place, the firm said.
The government wants to see self-drive cars on the roads by 2020.
"We find trucks today totally unacceptable. Loud, polluting and unfriendly," said Denis Sverdlov, chief executive of Charge, the automotive technology firm behind the truck.
"We are making trucks the way they should be - affordable, elegant, quiet, clean and safe." Cont'd...
New US Robotics Roadmap calls for increased regulations, education and research
From Phys.org: A new U.S. Robotics Roadmap released Oct. 31 calls for better policy frameworks to safely integrate new technologies, such as self-driving cars and commercial drones, into everyday life. The document also advocates for increased research efforts in the field of human-robot interaction to develop intelligent machines that will empower people to stay in their homes as they age. It calls for increased education efforts in the STEM fields from elementary school to adult learners
The roadmap's authors, more than 150 researchers from around the nation, also call for research to create more flexible robotics systems to accommodate the need for increased customization in manufacturing, for everything from cars to consumer electronics
The goal of the U.S. Robotics Roadmap is to determine how researchers can make a difference and solve societal problems in the United States. The document provides an overview of robotics in a wide range of areas, from manufacturing to consumer services, healthcare, autonomous vehicles and defense. The roadmap's authors make recommendation to ensure that the United States will continue to lead in the field of robotics, both in terms of research innovation, technology and policies. Cont'd...
Robotics 101 at Loyola University
I think it is realistic for a robot of some sort to be in every classroom. But, the education system will need to lead the way towards that future.
Japan Regional Service Robot Expo - Expediting Opportunities in the Domestic Market
Coupled with the Government`s new Robot initiative and plenty of reasons such as short fall of labor and so on, it is becoming inevitably to adapt to new and advanced robotic process for sustaining the production strength in regional factories thus paving a new and huge potential domestic market opportunity for Robotic equipment's and services.
Swarm of Origami Robots Can Self Assemble Out of a Single Sheet
Evan Ackerman for IEEE Spectrum: One of the biggest challenges with swarms of robots is manufacturing and deploying the swarm itself. Even if the robots are relatively small and relatively simple, you’re still dealing with a whole bunch of them, and every step in building the robots or letting them loose is multiplied over the entire number of bots in the swarm. If you’ve got more than a few robots to handle, it starts to get all kinds of tedious.
The dream for swarm robotics is to be able to do away with all of that, and just push a button and have your swarm somehow magically appear. We’re not there yet, but we’re getting close: At IROS this month, researchers from the Wyss Institute for Biologically Inspired Engineering at Harvard presented a paper demonstrating an autonomous collective robotic swarm that can be manufactured in a single flat composite sheet. On command, they’ll rip themselves apart from each other, fold themselves up into origami structures, and head off on a mission en masse. Cont'd...
RoboBusiness 2016: Our Takeaways
Just like at Automatica last summer, it almost felt as if the robotics event was morphing into an IT event. So much so that Michael Loughlin of nelmia Robotics Insight joked that it looked like manufacturers forgot that their job is actually to build stuff.
As seen on TV! Neural Enhance
From Alex J. Champandard: As seen on TV! What if you could increase the resolution of your photos using technology from CSI laboratories? Thanks to deep learning and #NeuralEnhance, it's now possible to train a neural network to zoom in to your images at 2x or even 4x. You'll get even better results by increasing the number of neurons or training with a dataset similar to your low resolution image.
The catch? The neural network is hallucinating details based on its training from example images. It's not reconstructing your photo exactly as it would have been if it was HD. That's only possible in Hollywood — but using deep learning as "Creative AI" works and it is just as cool! (github)
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