Articles tagged with Robots
Researchers developed a machine-learning method that allows robots to pick up and place never-before-seen objects in random poses, requiring only 10 human demonstrations. The system uses a neural network specifically designed to reconstruct 3D shapes, enabling the robot to generalize to new object orientations.
Researchers at Georgia Institute of Technology have developed micro-rocker bots that can move precisely on a solid surface using a single electromagnetic coil. The robots, about the size of a particle of dust, are controlled by a magnetic field generated by the coil and can perform well-controlled movement with selectable direction.
Developed by Prof. Qing Shi's team, SQuRo can mimic the motion of actual rats and perform various motions like crouching-to-standing, walking, crawling, and turning. It successfully passed through an irregular narrow passage and demonstrated its potential application to inspection tasks inside narrow spaces.
A study found that people are more comfortable with AI companions that are voice-based and less likely to recommend them if they appear too human-like. The researchers suggest that the 'uncanny valley' effect may contribute to this preference.
Researchers propose a modular Mars exploration rover system consisting of four two-wheeled robots that can operate independently or combine in various constellations. The approach enables longer missions and gathers more information about the planet's history and potential habitability.
Researchers at UCF create brain-like devices that enable AI to function independently, allowing technology like robots and voice assistants to operate in remote areas or space. The devices use parallelism and in-memory computing, similar to the brain, for AI and unsupervised learning.
Researchers at the University of Bristol created a 3D-printed artificial fingertip that produces nerve signals similar to those from human tactile nerves. The innovation could improve robot dexterity and prosthetic hand performance by giving them an in-built sense of touch.
Researchers at MIT developed a framework for robotic manipulation systems that can perform complex tasks using a two-stage learning process. This allows robots to learn abstract ideas about manipulating deformable objects, such as pizza dough, and execute skills to complete tasks.
The article reviews key technologies for space intelligent robots in on-orbit operation requirements. Researchers discuss challenges such as microgravity, complex illumination, and strong radiation in space.
Developers are integrating optical coherence tomography (OCT) machines into sensor packages to create fast and accurate LiDAR systems. These advancements enable robots and cars to see the world in a more natural and safe manner, improving interaction with humans.
A team of engineers and scientists has developed a proof-of-concept for a magnetic tentacle robot that can navigate the narrow tubes of the lung, enabling doctors to take tissue samples or deliver cancer therapy. The device measures just 2 millimeters in diameter and uses an autonomous magnetic guidance system to guide it into place.
A new study from St John's College, University of Cambridge suggests that robots can help produce solar fuels, accelerating the world's transition to green renewables. The 'cyber-leaf' concept uses AI and robots to create sustainable syngas, reducing reliance on fossil fuels.
Researchers at Skoltech used a 3D simulation to show that small fish can sense the position and tail beat of their neighbors through water pressure variations, enabling efficient group swimming even in darkness. This mechanism could lead to more energy-efficient aquatic research robots and improved fish behavior studies.
Researchers created BirdBot, a robotic leg inspired by the ostrich's anatomy, which achieves energy efficiency through a mechanical coupling of muscles and tendons. The robot leg requires fewer motors than other machines, making it suitable for large size applications.
Researchers at the University of Bath have developed a new coating method for soft robots that allows them to change shape and movement through human-controlled activity. This breakthrough in active matter could lead to the creation of machines governed by individual units that cooperate to determine movement and function.
Researchers at MIT and Harvard University applied cognitive science theories to human-robot interaction, finding that humans need to see variation in robot behavior to build accurate mental models. Theories suggest that strategic variation can reveal concepts that might be difficult for a person to discern otherwise.
Researchers at New York University found that paper airplanes can achieve stable gliding when the center of mass is in a specific location, unlike conventional airplanes. The study's findings enhance our understanding of flight stability and provide insights into designing small-scale flying machines.
A team of scientists developed a soft haptic sensor that can accurately estimate contact points and forces using computer vision and deep neural networks. The sensor is sensitive enough to detect even tiny forces and detailed object shapes.
Researchers created an artificial sensory receptor that generates spike signals on its own, enabling the e-skin to analyze spatial information and react to external stimuli in real-time. The e-skin's functionality overcomes limitations of conventional electronic skins, which can only process tactile information sequentially.
Developed by University of Cambridge researchers, these materials can sense strain, temperature and humidity, and partially repair themselves at room temperature. The low-cost materials have potential applications in robotics, tactile interfaces and wearable devices.
Researchers at Simon Fraser University have developed robots that can take a patient's blood pressure using only a simple touch, inspired by the folding mechanisms of leeches. The origami-inspired dry electrodes can be integrated onto humanoid-sensing robots to monitor blood pressure without traditional cuff-based digital sphygmomanome...
A team of researchers from Shibaura Institute of Technology has developed a transducer powered by electrochemical reactions to drive fluid pumps without cumbersome parts in soft robots. The ECDT enables self-sensing technology, enhancing the multifunctionality of soft robots and allowing for miniaturization.
A study by Washington State University researcher Soobin Seo found that people are more comfortable talking to female robots working in service roles in hotels. The preference is stronger when the robots are described as having more human features, with participants rating female robot interactions as more pleasant and satisfying.
For the first time, astronauts in orbit successfully controlled a robot on the ground using haptic feedback, simulating geological exploration missions. This breakthrough enables more complex investigations of planetary surfaces without human exposure to danger.
Researchers developed MonoCon, a new AI technique that enables accurate identification of 3D objects in 2D images. By incorporating auxiliary context, the method improves object detection and estimation accuracy, paving the way for safer and more robust autonomous vehicles.
Research reveals that intense storms in the Southern Ocean increase ocean mixing, bringing carbon dioxide-rich waters to the surface and driving an outgassing of CO2 into the atmosphere. This process has significant implications for understanding global climate models and predicting future climate change.
Researchers at ETH Zurich have developed a new control technology that enables ANYmal, a quadrupedal robot, to combine visual perception of its environment with proprioception-based sensing. This allows the robot to tackle rough terrain faster and more efficiently.
Researchers discovered humans unconsciously mirror a humanoid robot's body language, mirroring human behavior when interacting with peers. The study highlights the intriguing similarity between human-Robot interactions and interpersonal relationships.
Researchers developed soft manipulators based on pneu-nets, mimicking biological systems like elephant trunks and octopus tentacles. These structures can grasp and manipulate soft objects with increased flexibility.
Researchers have developed a computer program that can control a robot using electrical signals emitted by a patient's brain, allowing them to move the robot with their thoughts. The system uses an algorithm that can learn from the patient's brain activity and adjust the robot's movements accordingly.
Researchers at MIT have developed a new fabrication technique that enables the creation of soft actuators with 75% lower voltage requirements and 80% more payload capacity than current versions. This breakthrough could lead to the development of flying microrobots with improved performance and payload capabilities.
A team of biologists and engineers created a robotic fish that scares mosquitofish away, altering its behavior and physiology. The study found that the mosquitofish showed fearful behaviors, weight loss, and reduced fertility when confronted with the robot.
A team of UBC Okanagan researchers has developed a system to enhance interactions between humans and robots in industrial settings. The system uses artificial intelligence and machine learning to capture and analyze the environment, allowing robots to respond in a timely manner to ensure human safety.
A recent study published in PNAS reveals that humans can instantly estimate slipperiness of a surface by detecting radial strain in the fingertip skin during initial contact. This innovation has significant implications for robotics and prosthetics design.
A new floating robotic film can hoover oil spills at sea or remove contaminants from drinking water, using a pulsing motion inspired by water striders. The film is powered by light and fueled by water, making it sustainable and reusable.
Researchers at the University of Vermont have created the first living robots capable of reproducing, using AI-designed Xenobots. This groundbreaking achievement has significant implications for regenerative medicine, as it demonstrates a new form of biological self-replication.
A recent study found that robots negatively impact marriage stability and fertility, while improving gender pay equity. The research revealed that exposure to industrial robots worsens men's economic stature and reduces their ability to form long-term commitments, but boosts women's earnings and increases their labor force participation.
A recent study by Bocconi University professors reveals that individuals exposed to automation are more likely to support radical-right parties. The researchers found a strong correlation between automation exposure and poorer economic conditions, lower job satisfaction, and increased support for the radical right.
Bubble casting is a new way to make soft robots using 'fancy balloons' that change shape in predictable ways when inflated with air. The researchers successfully cast star-shaped hands, coils and fingers, demonstrating the potential for soft robotics applications such as harvesting produce or providing personal care.
Researchers developed a bioinspired system using ultrasound measurements to create customized assistance profiles for users. The exosuit significantly reduced metabolic energy of walking across various speeds and inclines.
Researchers at Nicolaus Copernicus University developed an algorithm to help robots avoid dead ends by predicting obstacles and using augmented reality. This innovation significantly improves the efficiency of mobile robots.
Researchers have discovered a way to manipulate orbiting debris with spinning magnets, allowing for gentler maneuvering and potential repair of malfunctioning objects. The technology has the potential to help clear space junk from Earth's orbit and extend the life of satellites.
Researchers use physical reservoir computing to teach robots to think like humans by simulating brain signals. The system enables goal-directed behavior without additional learning, highlighting a potential breakthrough in AI development.
Researchers from Michigan Technological University created a robot that uses Marangoni propulsion to move across liquid surfaces like insects. The robot's design is inspired by the ability of certain species to manipulate surface tension for speed and maneuverability.
Dr. Yasemin Ozkan-Aydin successfully built four-legged swarm robots that can navigate challenging environments and overcome obstacles collectively. The robots were tested on various terrain types, including grass, leaves, and rough surfaces, with individual units sending signals to others for support when needed.
Researchers created a paper-like material that folds itself into new shapes in response to environmental humidity, with potential applications in self-folding envelopes and boxes. The material's ability to morph on demand could lead to the development of autonomous origami robots and other complex shapes.
Researchers discovered how neurons in a small area of the brain filter distracting signals to coordinate dexterous movements. The findings may hold lessons for building better prosthetics and robots that can fine-tune their movements based on sensory input.
A study published in Royal Society Open Science found that 10-year-old children follow social norms and reciprocate consideration from adults. Children of this age tend to behave more like adults, giving weight to adults' opinions if they are credited, whereas younger children trust their own decisions independently of adult behavior.
Researchers are developing insect-like robots for agriculture, mining, and space exploration using dynamic force sensing and agile movement. The goal is to create robots that can navigate difficult terrains and interact safely with humans.
SUTD researchers develop sensor that assigns dirt score to areas based on visual and tactile analysis, allowing for more efficient exploration of complex spaces. The sensor is integrated with a smart algorithm that directs the robot to focus on areas with high dirt probability.
Scientists have designed a 4D-printed soft robot with unique properties, enabling it to roll uphill, navigate uneven terrain, and carry heavy loads. The robot's ability to adapt to its environment was a surprise discovery for the researchers, who hope to unlock new applications in confined spaces.
Researchers at Cornell University have developed micro-robotic swimmers powered by high-frequency sound waves, which can propel tiny robots forward. The technology has potential for targeted drug delivery and could be used to navigate the human body.
Comparative survey data from over 25,000 respondents highlights workers' concerns about technology-related job risks and expectations for funding for training and continuing education. Governments are advised to take a balanced policy approach, investing in social investment and social transfer measures.
Researchers found that aging workforces, characterized by a higher ratio of workers 56 and older to those ages 21-55, are associated with increased robot deployment in 60 countries. This study suggests that automation adoption is partly driven by labor shortages, particularly middle-aged labor needed for blue-collar work.
Researchers at Arizona State University studied the physics behind humans balancing coffee while walking, revealing a natural mode of flexibility that mimics human motion. The findings can be used to design smart robots to adaptively handle complex objects in changing environments.
A North Carolina State University panel of experts assesses AV deployment risks and benefits, predicting substantial benefits if well-regulated. The study's findings suggest regulations could limit urban use of AVs and commercial fleet ownership, reducing risk and increasing benefits.
Researchers found that robots and vehicle automation account for a small percentage of greenhouse gas emissions, with delivery vehicle size and fuel source having larger impacts. A human-driven, battery-powered cargo van has the lowest per-package footprint among analyzed methods.
Cornell University researchers used facial recognition AI to develop an imaging robot called BlackBird that scans grape leaf samples automatically, reducing manual assessment time from six months to one day. The technology has the potential to save farmers billions of dollars by detecting disease early and reducing fungicide usage.
Wastewater screening at UC San Diego detects 85% of COVID-19 cases early, enabling timely testing, contact tracing, and isolation. The approach has reduced campus positivity rates to less than 1% during the pandemic.
The proposed scan matching algorithm reduces data processing time and improves robot performance by filtering out unnecessary data. The technique allows robots to redirect computational resources to other tasks, enabling faster processing and improved accuracy in applications such as SLAM and SfM.