Source: Science Direct Authors: EvaWiese, Patrick P.Weis Highlights Evidence for categorical perception for human as well as nonhuman agent spectra. Cognitive conflict maxima located around category boundaries for human and nonhuman agent spectra. Enhanced cognitive conflict processing for the human as opposed to nonhuman agent spectra category boundaries. Category boundary shift stronger for human than nonhuman agent spectra. Categorical perception quantitatively, not qualitatively different in human agent spectra. Abstract Humanlike but …Read More
Tag Archives: robots
TECHNICAL GUEST POST: Object selection and detection (IK4-TEKNIKER)
Which approach are you using for object selection and detection within the PICK-PLACE project? Due to the large number of references that the system needs to be able to cope with, we are using a deep learning based approach for object identification, segmentation and grasping point selection. There are different steps involved in order to generate a deep learning model. First, a dataset with images of different objects needs to …Read More
Google Teaches Robot to Toss Bananas Better Than You Do
Source: Spectrum IEEE / By Evan Ackerman TossingBot, developed by Google and Princeton, can teach itself to throw arbitrary objects with better accuracy than most humans. As anyone who’s ever tried to learn how to throw something properly can attest to, it takes a lot of practice to be able to get it right. Once you have it down, though, it makes you much more efficient at a variety of …Read More
Festo’s Agile Robot Handles Objects Effortlessly
Source: ValueWalk / by Danica Simic Many video games and sci-fi shows and movies offer a glimpse into a future in which we’re served by robot nannies, maids and chefs. A study conducted at MIT previously demonstrated that AI-powered robots can make pizza, and now engineers at Festo have designed an agile robot arm which can effortlessly handle objects and even learn how to do it better. Festo’s agile robot arm is equipped with a …Read More
PARTNER PROFILE: CNR-STIIMA (Italy)
In this series, members of the PICK-PLACE consortium are portrayed. After TOFAŞ ULMA Handling Systems, Mondragon Assembly and IK4-TEKNIKER it’s the turn of CNR-STIIMA. Researcher Manuel Beschi answers the interview. What is CNR-STIIMA? The Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA) belongs to the National Research Council of Italy (CNR), the largest public research center in Italy. The research activities of STIIMA are focused on the Manufacturing sector, …Read More
Robots and cobots in logistics – the next stage of growth – Industry 4.0
Source: i-SCOOP Despite the de facto main attention for IoT when people talk about ‘Industrie 4.0’, many other/related technologies and realities take center stage in Industry 4.0 and Logistics 4.0. Among them: robotics. Obviously, they are already used a lot in manfacturing and logistics and transportation. However, the market is about to accelerate as research and market evolutions show. Moreover there are ample evolutions, among others regarding the rise of cobots. Robots and cobots in Logistics 4.0 – an …Read More