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Categories: Engineering: Robotics Research, Mathematics: General
Published Mathematics supporting fresh theoretical approach in oncology



Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.
Published A color-based sensor to emulate skin's sensitivity



In a step toward more autonomous soft robots and wearable technologies, researchers have created a device that uses color to simultaneously sense multiple mechanical and temperature stimuli.
Published Researchers develop novel deep learning-based detection system for autonomous vehicles



Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable conditions. This study marks a significant step in autonomous vehicle object detection technology.
Published Blasts to clear World War II munitions could contaminate the ocean



World War II concluded decades ago, but live mines lurking on the ocean floor still pose threats, potentially spewing unexpected geysers or releasing contaminants into the water. Experts conduct controlled explosions to clear underwater munitions, but concerns have arisen over the environmental impacts from these blasts. New results show that the contamination produced by detonation depends on the blast type, with weaker explosions leaving behind more potentially toxic residues.
Published Nearly 400,000 new compounds added to open-access materials database



New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch.
Published Network of robots can successfully monitor pipes using acoustic wave sensors



An inspection design method and procedure by which mobile robots can inspect large pipe structures has been demonstrated with the successful inspection of multiple defects on a three-meter long steel pipe using guided acoustic wave sensors.
Published How do you make a robot smarter? Program it to know what it doesn't know



Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.
Published Researchers engineer a material that can perform different tasks depending on temperature



Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.
Published New method uses crowdsourced feedback to help train robots



A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.
Published Autonomous excavator constructs a 6-meter-high dry-stone wall



Researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tons and demolition debris.
Published AI for perovskite solar cells: Key to better manufacturing



Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required. Researchers have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells: Assisted by Machine Learning and new methods in Artificial Intelligence (AI), it is possible assess their quality from variations in light emission already in the manufacturing process.
Published AI finds formula on how to predict monster waves



Using 700 years' worth of wave data from more than a billion waves, scientists have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs.
Published New computer code for mechanics of tissues and cells in three dimensions



Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.
Published Breakthrough in tackling increasing demand by 'internet of things' on mobile networks



A novel technology to manage demands on mobile networks from multiple users using Terahertz frequencies has been developed by computer scientists.
Published Morphing cones under compression: New research uncovers surprises for soft robotic actuators



Engineers investigating the load-bearing capacity of conical shells, made from soft materials, have discovered performance-limiting weaknesses that could have implications for soft robotics -- affecting the ability of morphing cones to perform fundamental mechanical tasks.
Published Nuclear expansion failure shows simulations require change



A team of researchers looked back at a model that predicted nuclear power would expand dramatically in order to assess the efficacy of energy policies implemented today.
Published Use it or lose it: New robotic system assesses mobility after stroke



Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands. Many stroke survivors rely on their stronger arm to complete daily tasks, from carrying groceries to combing their hair, even when the weaker arm has the potential to improve.
Published Printed robots with bones, ligaments, and tendons



For the first time, researchers have succeeded in printing a robotic hand with bones, ligaments and tendons made of different polymers using a new laser scanning technique. The new technology makes it possible to 3D print special plastics with elastic qualities in one go. This opens up completely new possibilities for the production of soft robotic structures.
Published This 3D printer can watch itself fabricate objects



Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.
Published Individual back training machine developed



18 percent of reported sick leave relates to musculoskeletal ailments, in particular back-related disorders. The GyroTrainer is an intelligent training device that resembles a balance board. It uses artificial intelligence to adjust the difficulty level to the individual patient's current ability.