Researchers at Delft University of Technology developed a lightweight whisker-based tactile sensor that enables tiny drones to navigate and explore their surroundings through gentle touch. The system uses artificial whiskers inspired by rodent vibrissae to provide continuous feedback about the environment during contact.
A team of researchers at TU Delft has developed a tactile drone that uses soft tactile sensors in a human-like hand to detect and grasp branches before landing. The drone's approach is robust and accurate, even in situations where vision alone is unreliable.
Researchers propose framework for closed-loop haptic interaction in VR/AR, linking tactile sensing, intelligent processing, and physical feedback. The review identifies flexible electronic skins and four research priorities to close the haptic interaction gap.
A new color-changing tactile sensor, developed by Queen Mary University of London, allows robots to map contact, strain, and pressure in high resolution. This technology has the potential to improve robotic grippers for precision manufacturing and prosthetic limbs for better sensing capabilities.
Researchers at Helmholtz-Zentrum Dresden-Rossendorf have developed biobased spintronics using iron, cellulose, and starch to create sustainable magnetic field sensors. These sensors achieve levels of sensitivity comparable to commercial solutions and can be safely degraded or recycled.
A novel monitoring system has been developed to detect tool wear in machining, delivering 98% accuracy and real-time insights. This innovation uses a flexible tactile sensor to capture detailed images of the cutting edge, enabling manufacturers to schedule replacement at the optimal time.
The new dynamic shielding layer allows the sensor to focus on specific areas when needed, achieving a 104.56% increase in detection depth. The sensor can also detect approaching objects from over 90mm away, providing a vital split-second for robots to avoid collisions.
A flexible skin-mounted haptic interface can replicate diverse motions using a single actuator, providing rich tactile feedback and versatility. The technology aims to assist humans in various applications, including wearable human-machine interfaces and medical operations.
The Seoul National University of Science and Technology has developed a novel 3D AMM-based tactile sensing platform that offers high-performance pressure sensing. The technology leverages auxetic metamaterials to enhance sensitivity, stability, and scalability.
Researchers developed a novel fabrication method for thin-film temperature sensors that operate across an exceptionally wide temperature range, from –50 °C to 950 °C. The technique eliminates the need for complex protective layers, making it faster and cheaper to produce sensors.
Scientists created a low-cost, durable, highly-sensitive robotic 'skin' that can detect various types of touch and pressure. The technology senses multiple physical inputs simultaneously, allowing robots to interact with their environment in a more human-like way.
Chung-Ang University researchers have developed self-powered tactile sensors for robotics and wearables by introducing novel manufacturing strategies for piezoelectric and triboelectric sensors. These advancements aim to create high-performance sensors capable of multi-modal sensing and real-time interaction.
Researchers have developed sensitive ceramic sensors that can selectively respond to pressure or temperature, which are integrated into a prosthetic hand and a robotic skin. The goal is to enable safe collaboration between humans and machines, with applications in medicine and industry.
A groundbreaking system utilizing a flexible tactile sensor based on electrical impedance tomography (EIT) offers significant advantages in terms of flexibility and sensitivity compared to conventional methods. The system achieved high classification accuracies, with reconstructed images and measured voltage vectors.
A new sensor developed by Queen Mary University of London enhances robots' sense of touch, allowing them to accurately measure interaction forces and geometry. This breakthrough could pave the way for more advanced and reliable robotics in the future, enabling better handling and manipulation of objects.
Researchers developed ProTac, a soft robotic link with multimodal perception to improve human-robot interactions. The device incorporates tactile and proximity sensing capabilities, enabling robots to react safely and predictably to physical contact.
Researchers at the University of Cambridge designed a soft robotic hand that can grasp a range of objects using passive movement and tactile sensors. The hand successfully grasped 11 of 14 objects in tests, including a peach, computer mouse, and roll of bubble wrap, demonstrating its ability to predict when it might drop an object.
The TOAST project, led by Aarhus University, aims to develop the Tactile Internet technology and upscale the talent pool for this emerging field. Researchers will focus on edge intelligence, haptic communication, and machine learning to create immersive user experiences.
Researchers at City University of Hong Kong developed a wireless, soft e-skin for interactive touch communication in the virtual world. The e-skin can detect and deliver the sense of touch, enabling one-to-multiuser interaction and overcoming the limitations of space and distance.
Researchers at Tokyo Metropolitan University have developed a new calibration algorithm for HumTouch technology, which converts AC hum noise into touch location data. The algorithm improves accuracy and speeds up calibration, enabling nearly any surface to be turned into a touch sensor with high precision.
Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.
Researchers from City University of Hong Kong developed an advanced wireless haptic interface system called WeTac. The system provides a vivid touch experience with personalized tactile sensation data and overcomes the shortcomings of existing bulky gloves.
A team co-led by CityU developed a wearable electrotactile rendering system that can mimic the sensation of touch with high spatial resolution and a rapid response rate. The device has various application potential, including enhancing VR/AR experiences and facilitating work in thick gloves.
A new 3D printing technique allows for the mass production of customized electronic machines, enabling advanced applications in robotics, medical devices, and others. This breakthrough could revolutionize manufacturing by providing a cost-effective solution for producing sensors in smaller volumes.
MIT researchers develop an interactive design pipeline enabling users to create customized robotic hands with tactile sensors. The platform streamlines the process, allowing users to adjust palm and fingers and integrate tactile sensors, resulting in complex tasks like picking delicate items or using tools being performed flawlessly.
Researchers developed a soft, stretchable, self-powered thermometer that can be integrated into stretchable electronics and soft robots, enabling new human-machine interfaces and applications. The sensor has high sensitivity and quick response time, and can measure temperatures up to 200 degrees Celsius or as cold as -100 degrees Celsius.
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 novel soft tactile sensor with skin-comparable characteristics has been developed for robots, allowing them to grasp fragile objects and thread needles. The sensor decouples external forces into normal and shear components, providing accurate measurements.
Researchers developed an artificial tactile sensor that detects surface information like shapes, patterns, and structures with high accuracy. The sensor uses piezoelectric materials to mimic the properties of human skin, offering advantages over existing sensors, including detection through touch and sliding.
A new robotic system developed by MIT engineers can grasp and pack items with high accuracy, making it suitable for various applications such as warehouse sorting and kitchen tasks. The system uses an object-agnostic grasping algorithm to assess a bin of random objects and determine the best way to grip or suction onto an item.