Articles tagged with Robotics
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.
A soft, wearable robot was used to help a person living with Parkinson’s disease walk without freezing, eliminating the debilitating symptom and allowing them to regain their independence. The device provided instantaneous effects and consistently improved walking in a range of conditions.
A Japanese research team developed a four-meter-long, remotely controllable flying firehose robot called the Dragon Firefighter. It can safely and efficiently extinguish fires by directly approaching flames. The robot will be deployed in real-world firefighting scenarios after approximately 10 more years of development.
The Coscientist AI system has been successfully designed, planned, and executed a chemistry experiment, demonstrating its potential to revolutionize scientific research. By leveraging large language models and cloud lab technology, Coscientist can automate the experimental process, enabling scientists to design and run experiments much...
A NSF-funded project, MABLE, is developing a digital app using crowdsensing, AI, and robotics to empower individuals with responsive maps and turn-by-turn instructions. The app aims to improve accessibility and navigation for persons with visual or mobility impairments, such as those with low vision and wheelchair users.
The new robotic replica, called RRV, can mimic healthy and diseased states, allowing scientists to test cardiac devices and therapies. The model can also be used to study the effects of mechanical ventilation on the right ventricle and develop strategies to prevent right heart failure.
The contribution grows the open-access resource that scientists use to invent new materials for future technologies. Researchers can now focus on promising materials with improved fuel economy in cars, more efficient solar cells, or faster transistors.
A new composite material, engineered using computer algorithms and 3D printing, can change its behavior in response to temperature changes. The material is designed to perform specific tasks depending on the environment, enabling future generations of autonomous robotics.
Researchers at Princeton University and Google have developed a new technique to teach robots to ask for help when they're unsure. The method uses large language models to gauge uncertainty in complex environments, allowing robots to reduce the amount of help required while maintaining high accuracy.
A self-healing elastomer forms the flexible membrane of the gripper, which can heal from scratches and punctures in approximately nine minutes. The gripper's design enables recyclability, allowing for a sustainable option for universal grippers and soft robotics.
The European Union's AI act could enable AI to access our subconscious minds, potentially leading to manipulation. According to Ignasi Beltran de Heredia, only 5% of brain activity is conscious, and the remaining 95% operates subconsciously, making it difficult for us to control or even be aware of.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
A UCLA study found that hospitals with high patient diversity are less likely to offer core cancer services, including hospice care, chemotherapy, and robotic surgery. The lack of these resources can impact treatment quality and outcomes for patients diagnosed with cancer.
The team developed a set of 11 actions allowing the robotic arm to pick up a wide variety of foods, including soups and pre-cut pizza. The system uses user-input images to identify foods and applies unique trajectories for scooping motions or wiggling inside food items.
Researchers from the University of Cambridge have discovered that conical shells made from soft materials are vulnerable to buckling at much smaller loads than previously predicted. This finding has implications for designing soft robots and mechanisms, as free unclamped edges can weaken thin structures in a surprising manner.
A team led by Lehigh University's Yahong Rosa Zheng is developing an Autonomous Observatory Node that can collect and transmit data from underwater sensors wirelessly, without the need for expensive subsea cables. The prototype aims to operate at depths of up to 1000 meters, enabling researchers to study extreme environments and detect...
A Northwestern University study found that consumers are more willing to accept automated vehicle delivery than drones or robots as a substitute for human drivers. However, tech-savvy consumers and those who prioritize speed and efficiency are more accepting of these technologies.
Researchers have developed a system that enables accurate force measurement in soft material-based actuators, allowing for arbitrarily long periods of constant force. The new material combinations reduce energy consumption by up to thousandfold, enabling the creation of low-cost and high-performance solutions for assistive devices and ...
Researchers have successfully engineered a soft robotic replica of a 450-million-year-old marine organism, pleurocystitid, to better understand its biomechanical factors and locomotion. The study introduces the field of Paleobionics, which uses Softbotics to explore evolution and animal design.
A Lancaster University academic argues that AI and algorithms contribute to polarization, radicalism, and political violence, posing a threat to national security. The paper examines how AI has been securitized throughout its history, highlighting the need for better understanding and management of its risks.
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
Researchers at Beijing Institute of Technology propose a human-like variable admittance control method to increase the safety, robustness, and adaptability of robot space assembly. The team successfully verified the effectiveness of their method through space satellite assembly simulation verification.
Researchers created a hydrogel mat with magnetic microparticles that mimic the forces of exercise. The team found that regularly exercising muscle cells resulted in longer, aligned fibers, and improved contraction capabilities.
Researchers at MIT found that similarity-focused generative AI models falter when tasked with designing new products, highlighting the need to prioritize innovation in engineering tasks. By adjusting training objectives and metrics, AI can be an effective 'co-pilot' for engineers, enabling faster creation of innovative products.
Researchers developed robotic prosthetic ankles controlled by nerve impulses, allowing amputees to move more naturally and improving stability. The study found that users were significantly more stable when using the robotic prototype, changing their postural control strategy and mimicking the body's behavior.
The center will establish a national presence in cutting-edge research areas like Human-AI Collaboration and Responsible AI. Researchers aim to develop natural language interfaces for robots like Boston Dynamics' Spot, increasing its useful tasks and navigating environments on its own.
A team of researchers at Northwestern University developed an AI capable of intelligently designing robots from scratch, compressing evolution into lightning speed. The AI designed a successfully walking robot in mere seconds, with a novel structure and three legs, fins along its back, and a flat face.
Researchers discovered that users' prior beliefs about an AI chatbot's motives significantly impact their interactions with the agent. Priming users to believe certain things about the AI's empathy, neutrality, or manipulation influences their perception of its trustworthiness and effectiveness.
Researchers have created MilliMobile, a tiny, self-driving robot powered only by surrounding light or radio waves. Equipped with sensors and tiny computing chips, it can move indefinitely on harvested power, enabling new abilities for swarms of robots in areas where other sensors struggle to generate nuanced data.
Researchers at North Carolina State University have created a soft robot that can navigate simple mazes without human or computer guidance. The new robot has an asymmetrical design, allowing it to turn and move in arcs, enabling it to navigate complex and dynamic environments.
Researchers have developed a tiny, squishable robot called CLARI that can change its shape to pass through narrow gaps. The robot's modular design allows it to be customized and expanded with additional legs, enabling potential applications in search and rescue operations after major disasters.
A new wearable device using haptic cues can aid individuals who are visually or audibly overwhelmed, such as amputees and specialists, in navigating their environment. The device was tested in a real-world scenario and demonstrated an average accuracy of 87% in guiding users.
Researchers at MIT developed a method to simplify the process of whole-body manipulation for robots, enabling them to reason efficiently about moving objects. The technique uses AI and smoothing to reduce the number of decisions required, making it possible for robots to adapt quickly in complex environments.
The University of Missouri is using a $1 million grant to develop an Industry 4.0 lab, providing engineering students with hands-on learning experiences in the latest industrial revolution's technology-centered job market. The lab will integrate skills at a higher level and keep students at the state-of-the-art level for industry.
Researchers have created a one-of-a-kind shape-shifting display that can generate scrolling text and fast enough to shake a chemistry beaker. The device uses soft robotic muscles that sense outside pressure, pop up to create patterns, and could potentially deliver the sense of touch in a digital age.
A team of researchers led by ICM-CSIC has successfully applied reinforcement learning to underwater robots, enabling them to track and locate marine objects with high accuracy. This breakthrough technology will allow for deeper study of ecological phenomena such as migration patterns and movement at various scales.
A team of roboticists developed a 3D printed soft robotic gripper that can pick and release objects without electronics. The device is printed in one go and features built-in gravity and touch sensors.
Hang aims to develop general-purpose robots that can handle complex physical interactions without requiring perfect input from sensors or extensive instructions. His project seeks to improve robotic manipulation tasks by reducing assumptions about how the robot acts in real-world conditions.
A team of Swiss robots, including legged ANYmal and wheeled robots, is sent to explore a challenging terrain, showcasing the benefits of redundancy and specialization. The robots work together to detect minerals and identify rocks, with semi-autonomous capabilities for direct task assignment.
A team of researchers at Harvard University has developed a compact, soft pump that can power soft robots in various applications. The pump uses dielectric elastomer actuators and can control pressure, flow rate, and flow direction, making it suitable for biomedical settings.
Researchers examine whether robots and AI can replicate the ethical concepts attributed to human nurses, including advocacy, accountability, cooperation, and caring. While AI can inform patients about medical errors and present treatment options, it questions its ability to truly understand and empathize with patients' values.
Researchers at the University of Illinois have developed a new type of flexible display that uses capillary-controlled robotic flapping fins and liquid droplets to create switchable optical and infrared light multipixel displays. The displays are 1,000 times more energy efficient than traditional LED screens.
A novel 'robotic pill' has been found to safely deliver the osteoporosis medication teriparatide orally, with comparable bioavailability to traditional injections. This breakthrough technology could offer a painless and more accessible treatment option for patients suffering from chronic conditions.
Maynooth University is establishing a state-of-the-art robotics lab with a €150,000 donation from Intel Ireland. The lab will provide students with hands-on learning experiences using cutting-edge robotic technologies and equipment used by engineers from Intel.
Researchers developed a new method for controlling lower limb exoskeletons using deep reinforcement learning, enabling more robust and natural walking control. The system has the potential to benefit users with spinal cord injuries, multiple sclerosis, stroke, and other neurological conditions.
A new ankle exosuit designed for community use could help stroke survivors improve their walking propulsion, boost confidence, and ability, according to a proof-of-concept study. The device simplifies mechanical components and allows wearers to control it easily, with sensors tracking progress over time.
Researchers from Osaka University developed a biomimetic robot that uses dynamic instability to navigate uneven terrain. The robot can switch between straight and curved walking motions, making it suitable for search and rescue operations or planetary exploration.
A team of researchers at Johannes Gutenberg University Mainz studied the collective behavior of small robots and found that they can solve tasks that a single machine cannot. The study uses statistical physics to analyze how the robots interact and move, revealing potential applications in medical and pharmaceutical applications.
Researchers develop a new online learning algorithm that enables the training of larger spiking neural networks with six million neurons. This allows for faster and more efficient processing of tasks such as speech recognition and object detection.
A new study published in Strategic Management Journal found that organizations serving more difficult customer needs tend to defer investment, while those addressing easier problems accelerate adoption of the same technology. The researchers emphasized the importance of letting customers drive strategy around adopting a technology, reg...