Articles tagged with Robotics
Researchers at UCLA developed a new class of tunable dynamic material that mimics the inner workings of push puppets, enabling precise control of structural shape and flexibility. The material has potential applications in soft robotics, reconfigurable architectures, and space engineering.
New research finds that AI explanations can fuel a perception of fairness without being grounded in accuracy or equity. Humans were more likely to override AI recommendations when explanations highlighted gender rather than task-relevance, but this did not improve decision-making accuracy.
Researchers have developed AI systems that use photos or videos to create simulations for training robots in real settings. The RialTo system generates highly accurate simulations of specific environments, while the URDFormer system creates generic simulations quickly and cheaply. These advancements aim to lower costs and increase acce...
A collaboration of scientists, ethicists, and researchers aims to create a consensus definition for diverse intelligent systems, including AI, LLMs, and biological intelligences. The proposed approach will provide a common language for recognizing, predicting, manipulating, and building cognitive systems.
Researchers at Binghamton University have developed self-powered aquatic robots that can skim across water and detect environmental data. The devices use ocean bacteria to generate power, with an average output of 1 milliwatt, enough for mechanical movement and sensor tracking.
Researchers at UVA School of Engineering and Applied Science developed artificial compound eyes that mimic praying mantis vision, offering improved depth perception and reduced power consumption by over 400 times compared to traditional systems.
Scientists embedded gold nanorods in hydrogels that can contract when exposed to light and expand again upon removal. This expansion and contraction mechanism allows for remotely controlled actuators with endless design possibilities.
Researchers created RoboFabric, a wearable fabric that can stiffen on demand for medical applications and soft robotics. The technology reduces muscle activity by up to 40% when assisting joints while lifting loads.
UCF's STRONG-AI initiative aims to uplift bright, low-income undergraduate students in pursuing well-rounded AI education through faculty and peer mentorship and scholarship. The program has received over 150 applications and will select 10-15 students annually based on financial aid eligibility and academic success.
The ZEN-MRI project, funded by the German Ministry of Education and Research, aims to achieve a congenial co-existence between human beings and robots in public areas. Researchers will investigate how to design robots that are perceived as unthreatening and sympathetic.
Researchers developed an AI model that can estimate lung function from chest radiographs with high accuracy, potentially expanding options for pulmonary function assessment in patients who have difficulty performing spirometry. The study found a remarkably high agreement rate between the AI model's estimates and actual spirometric data.
Researchers at North Carolina State University have developed a lightweight fluidic engine that can power muscle-mimicking soft robots for use in assistive devices. The new engine generates significant force and is untethered to an external power source, making it particularly attractive for improving people's ability to move their upp...
Researchers are working on improving the quality of high frequency wireless networks. Dr. Murat Yuksel is hoping to realize the dream of unimpeded communication at distances near and far. He is developing a smart wireless network system using machine learning, which can fine-tune the networks' efficacy.
The University of Maryland team created a camera mechanism that mimics the involuntary movements of the human eye, resulting in sharper and more accurate images. The Artificial Microsaccade-Enhanced Event Camera (AMI-EV) has implications for robotics, national defense, and industries relying on accurate image capture.
Researchers developed an AI model that accurately predicts metal yield strength by combining physical theory with machine learning. The model outperforms traditional methods, which often rely on extensive experimentation.
Researchers at the Gwangju Institute of Science and Technology (GIST) have developed an innovative robotic rehabilitation system called SPINDLE to enhance the strength and dexterity of individuals with tremors. The study revealed significant benefits, including improved motor control, coordination, and neuroplasticity.
Researchers developed artificial maple seeds that can be controlled using light to monitor environmental conditions, such as pH levels and heavy metal concentrations. The technology has potential applications in search-and-rescue, endangered species studies, and infrastructure monitoring.
Scientists at UVA and Toyota Research Institute create language representations of driving behavior to enable robots to associate words with environmental interactions. This allows cars to provide guidance and adjust speed in challenging situations, improving safety and usability.
A new study on learning has provided insights into the balance between habitual and goal-directed behaviors, with implications for AI development. The research suggests that a balance between these two types of behavior is necessary for efficient and adaptable decision-making in AI systems.
Researchers developed an AI-powered method to train robotic exoskeletons, enabling users to save energy while walking, running, and climbing stairs. The new approach allows for rapid development of exoskeleton controllers without lengthy human-involved experiments, offering promise for aiding individuals with mobility challenges.
A dog-like quadruped robot equipped with a mechanized arm is developed to detect hazardous gases and volatile organic compounds in hard-to-reach areas. The system uses air samples collected by the robot's arm and analyzed on-site, allowing for safer conditions for scientists and technicians.
A robotic device mimics natural esophageal and intestinal movement to aid digestion, helping patients with blockages caused by tumors or stents. The device has the potential to improve quality of life for the aging population.
Researchers discovered that command-like DNs in fruit flies recruit additional networks of neurons to orchestrate complex behaviors. The study shows that these networks work together to produce coordinated actions, transforming the way we understand brain signals and behavior.
The team created a prediction model that generates sustainable products with high accuracy and explores the vast design space of aerogel assembly. Their strong and flexible aerogels have programmable mechanical and electrical properties, opening up new possibilities for green technologies.
The article discusses the integration of actuation and sensing technologies in soft robotics, allowing for more adaptable and safe robots that can perform complex tasks autonomously. Key findings include advancements in actuation methods, sensing techniques, and integration methodologies, as well as challenges and future directions for...
Researchers at Zhejiang University have developed a wrist-inspired soft actuator capable of bidirectional torsion, surpassing existing models with up to 239.5 degrees of rotation. The innovative design combines magneto-pneumatic hybrid systems and Kresling origami structures for efficient and compact functionality.
Researchers developed a novel methodology utilizing digital twins to establish the usefulness of built environment design guidelines for robots. Digital twins allow for real-time monitoring, hazard identification, and training a robot's algorithm before deployment.
A groundbreaking study has introduced a new artificial intelligence framework that revolutionizes the way robots interpret and execute tasks. The CPMI framework leverages large language models to improve robot efficiency and effectiveness in complex instruction-based tasks, enabling adaptability and learning from experiences in real-time.
Researchers from Ohio State University propose the integration of AI technology in customer service to enhance operational efficiency and customer satisfaction. The benefits include increased accessibility, consistency, and personalized experiences, while addressing evolving hospitality trends.
The team aims to create a system that can deliver items without human contact, using cables, knots, and multiple robots. They will focus on scaling up the transport of small objects like a basketball and solar panel.
A US Army research collaboration with Boston University's KABlab used an AI machine learning robot to create a record-breaking energy-absorbing shape, breaking the known record of 71% efficiency. The shape has four points, like thin flower petals, and is taller and narrower than early designs.
Researchers at Uppsala University have developed an artificial tactile system that can detect pressure by touch in a similar way to the human nervous system. The technology has the potential to restore lost functionality to patients after a stroke, as well as enhance interactions between humans and robots.
The new Human-Centered Computing Labs at TU Graz offer a unique research infrastructure for interdisciplinary collaboration. The labs are equipped with cutting-edge technology, including virtual reality and motion capturing capabilities, to facilitate research on human-computer interaction, visual computing, and autonomous driving.
Researchers at Princeton University and North Carolina State University have combined ancient paperfolding and modern materials science to create a soft robot that can bend and twist through mazes with ease. The new design allows the flexible robot to crawl forward and reverse, pick up cargo and assemble into longer formations.
Researchers at Aalto University have created a method to manipulate objects with wind, allowing for controlled movement in different directions. The technique uses an airflow field to move objects along desired trajectories, with potential applications in robotics and complex processing tasks.
A recent study published in Science Robotics found that robots struggle to outperform biological organisms in foot races. The researchers analyzed data from dozens of studies and concluded that the failure of robots to outrun animals is not due to shortfalls in individual components, but rather inefficiencies in system design.
An interdisciplinary team of scientists and engineers compared various aspects of running robots with their equivalents in animals, finding that biological components performed poorly compared to fabricated parts. However, animals excel in integrating and controlling these components.
A new international research project, RoboSapiens, aims to make industrial robots more adaptable and reliable by utilizing artificial intelligence. The project, led by Aarhus University, will focus on four use-cases: autonomous ships, human-robot interactions, warehouse robots, and laptop refurbishment.
Researchers created a system called Holodeck to generate interactive 3D environments, leveraging language models like ChatGPT to control it. The system outperformed earlier tools in evaluating realism and accuracy, with human evaluators preferring its outputs across various indoor environments.
Lehigh University researcher A. Emrah Bayrak explores best practices for human-AI collaboration in complex design tasks, aiming to maximize productivity and job satisfaction. His project uses models that predict human decision-making and combines it with AI's training data analysis to determine strategies for division of labor.
Researchers developed a spring-like device that maximizes muscle contractions to power biohybrid robots. The new flexure design enables predictable and reliable movement, allowing engineers to build muscle-powered robots with increased precision and versatility.
Researchers at the University of Sydney and Queensland University of Technology have developed a new approach to designing cameras that process and scramble visual information. The approach, known as 'sighted systems,' creates distorted images that can still be used by robots to complete tasks but do not compromise privacy.
The new metafluid can transition between Newtonian and non-Newtonian states, allowing for programmable viscosity and compressibility. The researchers demonstrated the fluid's capabilities in a hydraulic robotic gripper, picking up objects of varying weights without crushing them.
Researchers at University of Missouri are developing software that allows drones to fly independently, perceiving and interacting with their environment while achieving specific goals. This technology has the potential to assist in mapping and monitoring applications, such as 3D or 4D advanced imagery for disaster response.
Scientists from Project CETI have developed suction cups inspired by clingfish to attach to sperm whales without causing harm. The new design has shown promise in withstanding the forces of a swimming whale and will be tested on sperm whales in Dominica.
Topological solitons are created in a robotic metamaterial and move through the chain without needing 'reset' thanks to non-reciprocal interactions. This breakthrough could lead to advancements in robotics, sensing, and communication.
Researchers have created molecular crystal motors that move in response to light, using photoisomerization to drive coordinated movements. The motors show remarkable durability and resistance to corrosion, making them suitable for biomedical applications.
Researchers have made significant breakthroughs by harnessing AI in metamaterials research, leading to faster device development and more precise data analysis. This convergence of AI and metaphotonics has the potential to transform various domains, including diagnosis, environmental monitoring, and security.
A team of researchers developed a time-optimal control method for autonomous ships, optimizing maneuvering performance in dynamic sea conditions. The new control system accounts for various forces affecting ship movement and can improve efficiency and safety, reducing shipping costs and carbon emissions.
EPFL researchers have developed a haptic device called SORI that can accurately recreate the softness of various materials, from marshmallows to beating hearts. This technology has potential applications in medicine, such as training medical students to detect cancerous tumors and providing sensory feedback to surgeons using robots.
A novel AI-based noise suppression system has been developed to improve the effectiveness of search and rescue drones during natural disasters. The system uses Generative Adversarial Networks (GANs) to accurately learn UAV propeller sound data and eliminate noise, allowing operators to clearly hear and recognize human sounds.
Researchers at North Carolina State University are developing a suite of performance metrics to standardize the evaluation of self-driving labs in chemistry and materials science. These metrics aim to compare different lab technologies and identify areas for improvement, ultimately advancing the field and accelerating discovery.
University of Texas at Dallas researchers have developed a first-of-its-kind, handheld electrochemical sensor that can accurately detect fentanyl in urine within seconds. The device detects even trace amounts of fentanyl with 98% accuracy and could be used to test for the drug in saliva, helping first responders make treatment decisions.
Researchers developed a compact facial recognition system that uses metasurfaces to create high-resolution images. The new technology recognized Michelangelo's David with similar accuracy as existing smartphone systems, using significantly less power and space.
Researchers have developed a wearable patch that can detect and respond to human muscle signals, allowing people to control robotic exoskeletons more efficiently. The patch, called SNAP, uses microneedles to pick up tiny signals from muscles and sends them to outside equipment for processing.
Researchers from the University of Cambridge have developed a robotic sensor that reads Braille at twice the speed of humans, achieving 87% accuracy. The breakthrough uses machine learning algorithms to 'deblur' images and recognize letters, paving the way for potential applications in robotics and prosthetics.
Researchers at the University of Tokyo have created a two-legged biohybrid robot capable of walking and pivoting underwater. The robot uses lab-grown skeletal muscle tissue to move its legs, achieving efficient and silent movements. Future iterations aim to develop thicker muscles with nutrient supplies to enable robots to walk on land.
The hip-assist robot EX1 improves walking ability, dynamic balance, and one-leg standing endurance in older adults. The four-week exercise program using EX1 significantly reduces the risk of falls and enhances overall health.
Researchers aim to create robots that can change tasks autonomously and explore settings to optimize performance. The project will focus on battery recycling and energy efficiency, with the goal of reducing industrial waste.
Researchers have developed twisted ringbots that can roll forward, spin like a record, and follow an orbital path around a central point. These devices can navigate and map unknown environments without human or computer control.