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Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Robots cause company profits to fall -- at least at first


Researchers have found that robots can have a 'U-shaped' effect on profits: causing profit margins to fall at first, before eventually rising again. The researchers studied industry data from the UK and 24 other European countries between 1995 and 2017, and found that at low levels of adoption, robots have a negative effect on profit margins. But at higher levels of adoption, robots can help increase profits.
Published Robotic grippers offer unprecedented combo of strength and delicacy


New robotic grippers are flexible enough to handle soft and fragile objects as well as heavier ones.
Published New method simplifies the construction process for complex materials


A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Thermal imaging innovation allows AI to see through pitch darkness like broad daylight


Engineers have developed HADAR, or heat-assisted detection and ranging.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics


An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published 3D display could soon bring touch to the digital world


Engineers have designed a new, shape-shifting display that can fit on a card table and allows users to draw 3D designs and more.
Published Researchers successfully train a machine learning model in outer space for the first time



Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published Reinforcement learning allows underwater robots to locate and track objects underwater


A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
Published This 3D printed gripper doesn't need electronics to function


This soft robotic gripper is not only 3D printed in one print, it also doesn't need any electronics to work.
Published Researchers develop low-cost sensor to enhance robots' sense of touch


Researchers have developed an L3 F-TOUCH sensor to enhance tactile capabilities in robots, allowing it to 'feel' objects and adjust its grip accordingly.
Published A simpler method for learning to control a robot


A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published Robotic hand rotates objects using touch, not vision


Inspired by the effortless way humans handle objects without seeing them, engineers have developed a new approach that enables a robotic hand to rotate objects solely through touch, without relying on vision.
Published AI predicts the work rate of enzymes


Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.
Published Robot preachers get less respect, fewer donations


As artificial intelligence expands across more professions, robot preachers and AI programs offer new means of sharing religious beliefs, but they may undermine credibility and reduce donations for religious groups that rely on them.
Published Allowing robots to explore on their own


Scientists have developed a suite of robotic systems and planners enabling robots to explore more quickly, probe the darkest corners of unknown environments, and create more accurate and detailed maps. The systems allow robots to do all this autonomously, finding their way and creating a map without human intervention.
Published A faster way to teach a robot


A new technique enables a human to efficiently fine-tune a robot that failed to complete a desired task with very little effort on the part of the human. Their system uses algorithms, counterfactual explanations, and feedback from the user to generate synthetic data it uses to quickly fine-tune the robot.
Published Bot inspired by baby turtles can swim under the sand


This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings. It's the only robot that is able to travel in sand at a depth of 5 inches. It can also travel at a speed of 1.2 millimeters per second--roughly 4 meters, or 13 feet, per hour. This may seem slow but is comparable to other subterranean animals like worms and clams.
Published Robotics: New skin-like sensors fit almost everywhere


Researchers have developed an automatic process for making soft sensors. These universal measurement cells can be attached to almost any kind of object. Applications are envisioned especially in robotics and prosthetics.
Published ROSE: Revolutionary, nature-inspired soft embracing robotic gripper


Soft robotic grippers could greatly increase productivity in many fields. However, currently existing designs are overly complex and expensive. A research team has developed ROSE, a novel embracing soft gripper inspired by the blooming and closing of rose flowers. Bearing a surprisingly simple, inexpensive, and scalable design, ROSE can pick up many kinds of objects without damaging them, even in challenging environments and conditions.
Published The economic life of cells


A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior of metabolic systems, which convert food into energy in our bodies. The team focused on predicting how different metabolic systems might respond to environmental change by using an economic tool called the Slutsky equation. Their calculations indicated that very different metabolic systems actually share previously unknown universal properties, and can be understood using tools from other academic fields. Metabolic processes are used in drug development, bioengineering, food production and other industries, so being able to predict how such systems will respond to change can offer many benefits.