While self-driving cars get most of the credit for capturing the publics imagination, autonomous or nearly autonomous tractor-trailers are starting to move goods across the worlds highways.
From AZoRobotics: As a result of a new machine learning algorithm formulated by engineering researchers Parham Aarabi (ECE) and Wenzhi Guo (ECE MASc 1T5) at University of Toronto, smartphones may soon be able to provide users with honest answers. The researchers prepared an algorithm that was capable of learning directly from human instructions, instead of an existing set of examples, and surpassed conventional techniques of training neural networks by 160%. But more astonishingly, their algorithm also surpassed its own training by 9% - it learned to identify hair in pictures with better reliability than that enabled by the training, signifying a major leap forward for artificial intelligence. Cont'd...
Colm Gorey for SiliconRepublic: Irishman Conor Walsh’s soft robotics exosuit was among the award winners at the recent Rolex Awards, due to the creator’s continuing efforts to develop tech for the benefit of humanity. Now in its 40th year, the Rolex Awards are part of an international philanthropic programme that supports new and ongoing projects by individuals taking on major challenges to benefit humankind. Hosted last night at a public awards ceremony in Los Angeles, the awards were presented to 10 laureates – including five young laureates – that included such wide-ranging topics as opthamology and agritech. Cont'd...
The development of driverless cars brings a wide set of capabilities together. From secure cloud-based mapping to next generation communication systems, there are many new ways to provide navigation for driverless systems.
Charlotte Whistlecroft for DigitalSpy: If you think you're happy with your job, Madeline Gannon will definitely make you question your life, as this woman has managed to train giant robots to do things for her. Nope, we're not joking - the founder of the Madlab Research Studio created "big, monstrous, industrial robots" and then tamed then, and she even has a nickname to prove it: The Robot Whisperer. Which is all pretty impressive, if not terrifying, stuff. Speaking at the WIRED Next Generation event in London, Madeline passed on her robot-taming skills to the audience of 12-18 year olds and shared her passion for turning 6-foot-tall factory line robots into tools any human can communicate with. Cont'd...
We took biomechanical data from actual human trials and applied them to a robotic model that mimics human movements when transitioning between sitting and standing positions.
The process of having employees work alongside robots is constantly improving. While this change may seem to be a small change, it does give more space for actual collaboration.
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...
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 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.
This machine was assembled from various parts from other machines, so "Frankenstein" was really the only logical name for it.
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)
IPRs Robot Transport Units (RTU) Increase Both the Action Radius of Robots and the Productivity of Loading Stations
The electronic switching of currents to the coils of the BLDC motor is more efficient than the mechanical switching of the DC motor.
Records 781 to 795 of 2024
Zaber's X-LRQ-DE Series of linear stages have high stiffness, load, and lifetime capabilities in a compact size. The integrated linear encoder combined with stage calibration provides high accuracy positioning over the full travel of the device. At 36 mm high, these stages are excellent for applications where a low profile is required. The X-LRQ-DE's innovative design allows speeds up to 205 mm/s and loads up to 100 kg. Like all Zaber products, the X-LRQ-DE Series is designed for easy set-up and operation.