A team of scientists will develop high-tech tools to explore cyanobacteria in lakes across the East Coast. The project combines big data, artificial intelligence, and robotics with new techniques for lake sampling to understand where and how cyanobacterial blooms develop.
Researchers have developed a new kind of robotics that can assemble large structures from identical subunits using simple robotic systems. The system works by having the robot work together with the structure, adjusting its position as it adds each piece, allowing for efficient and precise assembly.
The new material combines liquid metal and shape-morphing rubber, exhibiting adaptability and responsiveness to environmental changes. It also shows resilience and can detect damage, making it suitable for various applications in healthcare, wearables, and robots.
Researchers at U.S. Army Research Laboratory have made significant breakthroughs in developing artificial nanomotors inspired by biological molecules, which can harness Brownian motion for efficient energy production. These advancements aim to create faster, more versatile robots with improved autonomy and stealth capabilities.
A team of researchers is working on understanding the agility of hummingbirds to develop robotic systems that can mimic their complex escape maneuvers. By studying the aerodynamics, perception, motion planning, and control of hummingbird flight, the team hopes to create robots that can achieve high agility in fluid environments.
Researchers designed a new structural design method that can transform flat layers into predetermined shapes in response to ambient temperature changes. The new structures can achieve complex configurations, such as transforming into a human face shape.
Scientists create a soft, flexible artificial skin made of silicone and electrodes that can replicate the human sense of touch. The skin provides real-time pressure and vibration feedback to enhance rehabilitation and virtual reality applications.
Researchers created the world's most realistic model of the human hand's musculoskeletal system using MRI and visual effects techniques. This breakthrough has implications for computer graphics, prosthetics, medical education, robotics, and virtual reality.
Researchers created robots entirely from smaller robots called smarticles, unlocking a new locomotion technique. The smarticles can form structures and move in response to stimuli, allowing them to navigate mazes and even change their shapes.
Researchers developed Tunabot to better understand fish propulsion, which could lead to faster, more efficient propulsion systems for underwater vehicles. The robot's design was informed by studies of yellowfin tuna and mackerel, and its performance data sets a high standard for the field of fish robotics.
The new technology distributes decision-making throughout a stretchable material by sensing, computing, and responding without centralized processing. This approach holds promise for use in soft robotics and prosthetic devices, mimicking the decentralized brain of octopuses.
Researchers develop new approach combining individual finger control and automation to improve grasping and manipulation for amputees. The technology uses machine learning and sensor data to interpret user intention and automate object grasp.
The 'Flying Fish' robot uses a water-reactive chemical reaction to create gas, which propels it out of the water and into a glide of up to 26 meters. The robot can travel long distances without additional power, making it suitable for collecting water samples in hazardous environments.
Four researchers from Istituto Italiano di Tecnologia have been awarded ERC Starting grants to develop collaborative robotics and biotechnologies. Their projects aim to improve human-robot interactions, create new solar energy storage methods, and enhance immunotherapies using genetically modified T cells.
Researchers from KAIST have created an ultrathin artificial muscle that expands, contracts, and rotates using electricity, opening doors for applications in wearable electronics and advanced prosthetics. The actuator is flexible, durable, and highly responsive, with a durability of over five hours.
A soft robotic exosuit can assist both walking and running by detecting the wearer's gait and providing appropriate assistance, reducing metabolic costs of walking and running by 9.3% and 4.0%, respectively. The device weighs only 11 pounds and enables a near-seamless transition between gaits.
Researchers argue that robots must understand the reason behind their actions to work alongside people safely and effectively. This shift in thinking is necessary as automation increases and human-robot interaction grows.
The Department of Energy's Oak Ridge National Laboratory has developed dynamic vision sensors that can interpret live information in real-time, revolutionizing robotics and autonomous vehicle sensing. Additionally, researchers are using additive manufacturing techniques to unlock new potential in tungsten for fusion energy, while also ...
A new insect-sized robot created by UC Berkeley researchers can scurry across the floor at nearly the speed of a cockroach and withstand the weight of an average human. The robot's design allows it to 'leapfrog' forward using electric vibrations, enabling it to navigate through tight spaces.
Scientists develop a soft snail robot that harnesses energy from a laser beam to crawl on horizontal surfaces and climb vertical walls. The robot's unique properties offer insights into micromechanics with smart materials, paving the way for future exploration in small-scale soft robotics.
A novel soft robot with color-changing capabilities has been developed by mimicking the chameleon's skin cells. The robot can sense its environment and exhibit dynamic color change in response. Its unique properties make it suitable for sensing, communication, and disguise in soft robotics.
Current fisheries management methods fail to rebuild many fish stocks with a 55% average recovery rate. Robotics-based approaches can achieve higher recovery rates and increased economic returns.
Researchers from UC San Diego successfully embedded complex sensors inside robotic limbs and grippers using commercial 3D printing. However, the performance of these sensors is limited by the use of non-conductive polymers, which require additional post-processing for optimal functionality.
The American Institute of Aeronautics and Astronautics announced technical excellence awards to recognize outstanding contributions in space automation, robots, and propulsion. Winners include DARPA, NASA, and top aerospace professionals for their pioneering work and innovative achievements.
A robot developed by the University of Cambridge has successfully harvested iceberg lettuce in various field conditions, demonstrating potential for expanding robotics in agriculture. The 'Vegebot' uses machine learning to identify healthy lettuces and cut them without crushing, reducing physical demands on manual harvesting.
MIT researchers have created a set of five fundamental parts that can be assembled into various functional devices, including a tiny walking motor. The new system uses 'digital materials' and offers an alternative approach to constructing robots, which could lead to the development of standardized kits for specific tasks.
A new study published in Brain suggests that neurotechnology-based therapies, such as brain-machine interfaces and robotics, can lead to largest treatment effects when tailored to individual patient needs. Personalized combination of these therapies may allow patients to continue their recovery beyond what is possible today.
A Rutgers University study uses artificial intelligence to control a robotic arm that efficiently packs boxes, saving businesses time and money. The system develops software and algorithms for robust motion and real-time monitoring to detect failures.
A robotic gripper developed by researchers at UC Davis and Carnegie Mellon University can 'taste' for specific chemicals using engineered bacteria. The device is a proof-of-concept for biologically-based soft robotics and has potential applications in repair, energy generation, and biosensing.
A KIST research team has successfully taught a robot to trap a dropped ball like a soccer player using surface electromyograms (sEMG) of muscles. The technology enables robots with flexible joints to mimic human movements, advancing the study of interactions between humans and robots.
A miniature robot, called Sonopill, has been developed to guide a tiny robotic capsule inside the colon for micro-ultrasound imaging. This technology has the potential to replace invasive endoscopic examinations and detect cancer at an early stage.
Computer vision researchers demonstrate a new technique that enables them to reconstruct the shapes of unseen objects with great detail, including George Washington's profile on a U.S. quarter. The technique uses special light sources and sensors to see around corners or through gauzy filters.
Researchers developed a new composite material with magnetic shape memory activated by magnetism, offering advantages in medicine and robotics. The material consists of polymer and droplets of magnetorheological fluid, increasing stiffness up to 30 times.
Researchers designed SlothBot to linger in the forest canopy for months, measuring environmental factors like weather and chemicals, to observe changes over long periods. This approach leverages energy efficiency, avoiding the high energy needs of fast-moving robots, and aims to provide a fail-safe transition between cables.
Researchers developed a new methodology to create stretchable polymer composites with improved electrical and thermal properties. The materials are promising candidates for use in soft robotics, self-healing electronics, and medical devices.
Blossom, a handcrafted open-source robot platform, is designed to be simple, expressive, and inexpensive, allowing users to customize it with various materials like wood and wool. The robot's mechanical design enables flexible gestures, making it suitable for teaching children about robotics and human-robot interaction.
Salto's new skills allow it to bounce like a pogo stick and jump through obstacle courses like an agility dog. Researchers hope the robot will aid in search-and-rescue missions by navigating rubble to find trapped people.
The Stanford Student Robotics club developed an affordable, open-source quadruped robot called Stanford Doggo, which can perform acrobatic tricks and navigate challenging terrain. The robot's cost is estimated under $3,000 and all components can be bought online.
Researchers at Ben-Gurion University of the Negev have developed a hybrid FSTAR robot that can fly like a quadcopter, drive on tough terrain, and squeeze into tight spaces. The robot's sprawl mechanism allows it to transform its movement for various applications.
Researchers at the University of Maryland introduced a new way of combining perception and motor commands using hyperdimensional computing theory, which can fundamentally alter AI tasks. This integration enables robots to fuse their perceptions with motor capabilities, creating a more efficient and faster way to complete tasks.
A team of researchers developed a soft-bodied robot, LEeCH, inspired by land leeches that can climb vertical walls and transition to the other side. The robot's flexible body structure allows it to bend and elongate like a leech, enabling it to navigate complex terrain and obstacles.
LaViers' paper presents a simplified counting model that compares the expressive capabilities of robots and natural beings, revealing trends in robotic capacity. The research shows that robots perform similarly to a microscopic worm, highlighting the need for improvement in mimicking nature in robotics.
Researchers repurposed shrink films to make strong grippers that can encapsulate materials or be incorporated into soft robotics. The grippers were made by patterned black ink onto polystyrene sheets, which then wrapped around objects to grip them.
Researchers at Boston Children's Hospital demonstrate a robot that can autonomously navigate inside the body to reach a leaky heart valve. The robotic catheter uses AI and image processing to build a mental map of the cardiac anatomy, allowing it to find its way without surgeon guidance.
Engineers at Duke University create a smart robotic system that uses physics-based models and path planning algorithms to locate gaseous leaks in complex environments. The system can handle multiple sources and measure contamination rates, offering a more robust approach than existing heuristic methods.
Researchers at the University of Luxembourg have discovered a method to create an anti-ordered state in liquid crystals, which can exhibit unique properties such as shape-changing behavior. This breakthrough enables the development of novel materials with potential applications in soft robotics and artificial muscles.
A new research project is harnessing diverse disciplines to examine the relationship between disability and technology, aiming to produce new ideas about how disability is seen in a world of artificial intelligence and robotics. The project will also create new technologies that can be used by people with disabilities today.
The new cellulose-based material measures all three parameters independently, making it suitable for applications such as robotics, healthcare, and security. The sensor utilizes thermoelectric effect and distinguishes between electron and ion responses to measure temperature and humidity levels.
Rutgers engineers created flexible, lightweight materials that change shape with temperature, enabling better shock absorption and morphing airplane or drone wings. The materials can be reshaped and returned to their original form on demand, opening up possibilities for soft robotics, tiny implantable biomedical devices, and more.
Researchers developed particle robotics systems comprising disc-shaped units that can push and pull each other in coordinated movement. The cluster can gravitate toward light sources and transport objects, with particles able to add or subtract without impacting the group.
Researchers created a magnetic liquid metal that can move and stretch both horizontally and vertically without being fully immersed in liquid. The material exhibits high conductivity, low melting point, and deformability, making it suitable for use in soft robotics and flexible electronics.
Researchers developed a new method of moving microscopic objects using micro-robotics, allowing for high-resolution sorting and imaging. The technique uses fluid flow to pinpoint specific particles without affecting others nearby.
A new technology aims to bridge the gap for visually impaired students in STEM fields by using robotics, touchscreen technology, and sound. The project focuses on developing graphics and simulations that can be felt and heard, enabling equal access to math, engineering, and science concepts.
North Carolina State University researchers created fibers that combine rubber's elasticity with metal's strength, resulting in a tougher material. The fibers can stretch up to seven times their original length before failure while absorbing energy, making them suitable for applications like soft robotics and textiles.
Dr. Kyungsuk Yum develops bioinspired 3D materials that can form complex shapes and motions in response to external signals. His research has potential applications in bioinspired soft robotics, biomedical devices, tissue engineering, and artificial muscles.
The University of Lincoln is launching the world's first Centre for Doctoral Training (CDT) in Agri-Food Robotics, investing £6.6m for 50 doctoral students. The CDT will focus on areas like autonomous mobility, harvesting, and soft robotics to address global food chain challenges.
A perception system for soft robots has been developed, mimicking human body components to predict complex motions and forces. The system uses a motion capture system, neural network, and soft sensors to interpret sensor signals, enabling accurate predictions of robot movements.
Columbia engineers create a robot that learns what it is from scratch with zero prior knowledge of physics or motor dynamics. The robot uses deep learning to create a self-model, allowing it to adapt and learn from its own experiences.
Researchers at UC Berkeley have developed an ambidextrous approach that enables robots to grasp various objects without training, paving the way for faster and more efficient e-commerce fulfillment. The system uses a common reward function for different gripper types, allowing it to rapidly decide which gripper to use for each situation.
Researchers at the University of Tokyo have developed a cuttable wireless power transfer sheet that can charge devices wirelessly and be molded or cut to fit different shapes. The innovative technology offers a potential solution for emerging fields like robotics and could lead to untangled cables and versatile charging solutions.