GEPPETTO Offers Electronic Designers Rapid Path to Commercial Production
Custom Expansion Boards Now Available for Third Party COM
Famic Technologies Announces Strategic Expansion in India with New Office to Support Growth
Famic Technologies, the maker of many renowned software solutions including: Automation Studio for machine knowledge management and Automation Studio Live Manifold for hydraulic manifold design, quoting and prototyping, is pleased to announce the start of its subsidiary, Famic Technologies Pvt. Ltd in Pune, India.
Drone Labs Inks Three-Year Distribution Deal with Marubeni Information Systems
Marubeni has purchased product and will be sole distributor of Drone Detector in Japan. This is the link to their Drone Detector page: http://www.marubeni-sys.com/si/drone/
Wink STEM Robot From Plum Geek Helps Parents, Educators Introduce Kids to Wide World of Programming
Wink's hardware empowers users to be creative; once the basics of code are well understood, the possibilities are almost endless.
SkyTech 2016 - UAV Conference & Exhibition
SkyTech 2016 is a two-day B2B tradeshow for the commercial UAV industry. In 2016 SkyTech will incorporate an exhibition, three conferences, workshops, product launches, live demonstrations and marketing opportunities for the commercial UAV community.
PrecisionHawk Partners With Genera Energy to Build Aerial Analysis Tools for Biomass Crops
The automated algorithms will assess crop health and productivity using aerial farm imagery collected by satellites and drones
Local Motors Debuts LM3D, the World's First 3D-Printed Car Series
LM3D Swim showcases technology advances to the automotive world at SEMA in Las Vegas; More 3D-printed models and presales coming in spring 2016
Ultimaker's Ultimaker 2 Extended Named "Best Large Format" by Make: Editors Featured in Make: magazine's Ultimate Guide to Desktop Fabrication 2016
According to the Make: digital fabrication team, the Ultimaker 2 Extended was selected because "The Ultimaker Extended gives you a great print area while not taking up your entire desk."
3D Printing and Acoustics: Rapid Prototyping of Sound Diffusers
By being able to design diffusers in 3D and print them, we streamline the prototyping process tremendously. We can do virtual simulations with the 3D models to get a sense of the effectiveness, and we can make aesthetic or functional changes before its printed.
Robots in Restaurants
Here are three examples where Robots are beginning to take over in the restaurant.
Cooper Gray Robotics Introduces The Alternative to Diesel
The 1st Line Of Remote Controlled, Electric Powered
Construction Equipment
SEMA GARAGE USING STRATASYS 3D PRINTING TO EXPAND AUTOMOTIVE SOLUTIONS BUSINESS
Visit Stratasys booth #24323 and SEMA Garage at the SEMA Show, Nov. 3 - 6 in Las Vegas
At Prestigious NAS Workshop, LiDAR Pioneer Velodyne Sketches Future of Low-Altitude, Low-Cost Unmanned Aerial Vehicles
LiDAR Mobility, Form Factor to Define Next-Generation UAVs, Velodynes Seto Says
MakerBot Thingiverse Reaches Landmark 1 Million Uploads and 200 Million Downloads
Worlds Largest 3D Design Community Has Grown into a Robust Gateway to 3D Printing and 3D Design for Hundreds of Thousands of People Worldwide
How Sensorimotor Intelligence May Develop
From Institute of Science and Technology Austria:
Robotic systems controlled by a neural network spontaneously develop self-organized behaviors. Researchers propose a novel learning rule in PNAS to explain the development of sensorimotor intelligence.
It is fascinating to observe a robot exploring its physical possibilities and surroundings, and subsequently developing different self-taught behaviors without any instructions. In their paper (DOI: 10.1073/pnas.1508400112) published on October, 26, 2015 in PNAS (Proceedings of the National Academy of Sciences), Professor Ralf Der from the Max Planck Institute for Mathematics in the Sciences, und Georg Martius, Postdoc and Fellow at the Institute for Science and Technology (IST Austria), demonstrate the emergence of sensorimotor intelligence in robots based on their proposed learning rule...
... To test their hypothesis, the authors use bioinspired robots consisting of a humanoid and a hexapod robot in physically realistic computer simulations. The robots receive sensory input from their bodies but are not given any form of instruction or task. What can then be observed is a rich spectrum of rhythmic behaviors of the robots as they explore various movements. Solely because of the tight coupling of environment, body, and brain (in this case an artificial neural network), the robots can obtain feedback from their situation and adapt quickly. This, together with a simple, learned self-model, allows them to develop a form of sensorimotor intelligence... (full article) (paper) (videos and other materials)
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