This year RoboticsTomorrow.com is once again a media partner for Automate 2015 and we have expanded to bring more news, articles, products and perspectives from the show.
Run down of the state of AI from FastML: Let’s take a look at how advanced we are, really. Two representative and well known examples of the current state of the art are: Automatic image annotation using a combination of convolutional and recurrent neural networks DeepMind’s deep reinforcement learning for playing Atari games ( cont'd at FastML )
From Servocity: Simply mount your electronics using our innovative multi-board mounts that are compatible with a variety of micro-controllers; such as Raspberry Pi, Arduino and the SparkFun Redboard. The Runt Rovers™ are perfect for beginning light programming and educational applications... ( Servocity available options )
Automatic object detection is software that can automatically identify animals or poachers. This would enable tasks such as counting animals to become completely automated.
An Interview with Dr Paul Scholefield, Large Scale Ecosystem Modeller at the Centre for Ecology & Hydrology
From Smashing Robotics: Spanish company Robotnik introduced earlier this week their very own RB-1 mobile manipulator. The robot is designed for indoor use in household as well as professional environments, and is brought to life by using well known Dynamixel Pro series servo actuators which add up to 13 degrees of freedom (DOF), depending on variant. It is well suited for remote manipulation or human assistance applications and can be fully autonomous or manually controlled... ( full article ) ( datasheet )
From increased sales and installations to more affordable robots and quicker ROIs, all evidence points to the multi-billion dollar market of industrial robotics continuing to grow for years to come.
Hi-Tech Robotic Systemz is making its North American debut at ProMat 2015 (booth #5521) in Chicago, IL, with a focus on automating e-commerce fulfillment centers.
With the robotic board handling system, the company increased production an average of 20-30 percent and as high as 60 percent on some products.
ROBOCHOP: Interactive Installation Allows Internet Users Worldwide to Remotely Control a Pop-up Robotic Plant
From Clemens Weisshaar and Reed Kram: From March 16-20, 2015 internet users and visitors to CODE_n (Hall 16) at CeBit in Hanover will be able to use an online app connected to the ROBOCHOP installation to design and fabricate a piece of furniture in real time. The ROBOCHOP interface lets participants instruct a robotic arm to grab and sculpt a prefabricated 40 x 40 x 40cm durable foam cube using a floor mounted hot wire tool to create the object of their choice. The pop-up robotic plant has been conceptualised, coded and built by KRAM/WEISSHAAR. ROBOCHOP features a needle gripper as the robot’s hand, coaxial cooling of the cutting wire and sensors to measure the wire’s tension and provide direct feedback to the system. This harnesses the robot’s brute force and allows it to sculpt hundreds of unique objects consecutively with elegance and precision. Once manufacturing is complete, each custom object is packaged and posted to the user anywhere in the world entirely free of charge... ( full release ) ( homepage )
Current UAV regulation is not a cause for concern as is so often suggested. Regulations for commercial UAV usage are fit for purpose and are likely to become more relaxed as UAV technology evolves.
The below salary charts for robotics engineers shows the highest salary levels for robotics engineers in New York & San Francisco at approx. $110,000.
Two great examples of using Computer Vision to beat Super Hexagon. Super Hexagon is a really hard game. The goal of Super Hexagon is to control a small triangle which circles around a central hexagon (which occasionally collapses into a pentagon or square in the hexagon and hyper hexagon difficulty) attempting to avoid contact with incoming "walls". First example from Valentin Trimaille's Super Hexagon bot: Ray Casting Wall Detection The point is that a bot for this game makes a really nice image processing project to start learning OpenCV: simple shapes but lots of human disturbing effects, fast-paced game meaning real-time is required, very simple controls: rotate CW or CCW... ( full article ) Second example from Shaun LeBron's Super Hexagon Unwrapper: This project is written in Python. It employs Computer Vision algorithms provided by SimpleCV to establish a reference frame in the image. Then it warps (or "unwraps") the image based on that reference frame, using OpenGL fragment shaders... ( github code ) ( full explanation )
From Yale's OpenHand Project: This project intends to establish a series of open-source hand designs, and through the contributions of the open-source user community, result in a large number of useful design modifications and variations available to researchers. Based on the original SDM Hand , the Model T is the OpenHand Project's first released hand design, initially introduced at ICRA 2013. the four underactuated fingers are differentially coupled through a floating pulley tree, allowing for equal force output on all finger contacts. Based on our lab's work with iRobot and Harvard on the iHY hand , which won the DARPA ARM program , the Model O replicates the hand topology common to several commercial hands, including ones from Barrett, Robotiq, and Schunk (among others). A commercial version of this hand is currently for sale by RightHand Robotics ... ( homepage )
During the ten years between 2020 and 2030, were going to have our first experience with human-free businesses where systems/software will be communicating/negotiating with each other and youll just be sitting on the sideline.
Records 1351 to 1365 of 1391
Our fully autonomous intelligent vehicles will help you to transform the way you move materials and route your workflows. Increase throughput, eliminate material flow errors, improve traceability, maximize flexibility and allow your employees to focus on higher level tasks. Unlike traditional AGV's, our mobile robotics navigate using the natural features of your facility and do not require expensive facility modifications or guidance. Our AIV's can adapt to changes in their environment and work freely and safely with your staff. Our mobile robots are intelligent enough to quickly learn their environment and then automatically find the optimal path to where they need to go. They also automatically make adjust for dynamic environments and can work together in fleets of up to 100 robots.