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.
Northwestern University engineers created a drone called Phantom Twist that harnesses motion blur to blend into its surroundings. The drone spins up to 25 times per second, making it difficult for humans to see clearly, and can potentially monitor wildlife or inspect infrastructure with less disruption.
Scientists created a shape-changing flying robot named Floaty that can fly efficiently while staying stable in the air. By adjusting its flaps to control air resistance, Floaty balances itself and recovers from disturbances.
Researchers at Texas A&M University are designing how humans will build and survive on the moon, focusing on sustainable construction using lunar regolith. The institution's efforts aim to reduce costs associated with shipping materials to the moon, making it possible to produce rocket propellant locally.
Researchers at Worcester Polytechnic Institute developed a palm-sized aerial robot that uses ultrasound sensors and AI to navigate through fog, smoke, and other difficult conditions. The drone achieved a success rate of 72% to 100% in navigating challenging courses during 180 tests.
Researchers are using bird flight insights to create drone systems that can save energy and fly more efficiently. The goal is to develop technology that can dramatically reduce the amount of energy required for uncrewed aircraft, enabling longer flights.
Researchers at IIT have successfully demonstrated the first flight of a humanoid robot, iRonCub3, which can lift off the floor and maintain stability. The robot's AI-powered control system enables it to handle high-speed turbulent airflows, extreme temperatures, and complex dynamics.
Researchers create aerially transforming morphobot ATMO to address complex aerodynamic forces near ground level. The system uses advanced control method model predictive control to adapt quickly to changing dynamics during transformation.
Aerial robots are limited to manipulating rigid objects, but Lehigh University researcher David Saldaña aims to expand their capabilities with an adaptive controller and reinforcement learning. His research has potential applications in construction, disaster response, and industrial automation.
The University of Oldenburg has secured funding for three research clusters: Hearing4all, Ocean Floor, and NaviSense. These clusters aim to improve hearing loss prediction, diagnosis, and treatment, as well as animal navigation research. The funding enables the continuation of high-quality research with social relevance.
The Harvard RoboBee has been equipped with crane fly-inspired legs and an updated controller, allowing it to land safely on various surfaces. The robot's delicate actuators were protected by the improved design, which enabled controlled landing tests on a leaf and rigid surfaces.
Scientists successfully developed a method to precisely control the flight altitude of robo-pigeons using targeted electrical stimulation of the LoC nucleus. The study found that stimulation frequency and cycle can effectively control altitude, while increasing neural fatigue is minimized with proper inter-stimulus interval.
MIT researchers have introduced a new system called MiFly that enables drones to self-localize in indoor, dark, and low-visibility environments. The system uses radio frequency waves reflected by a single tag placed in the environment, allowing the drone to estimate its trajectory with high accuracy.
Researchers design flexible, batlike wings that boost lift and improve flight performance. The study found that smooth curvature of the membrane wing generates more lift than a leading-edge vortex.
Researchers at Institute of Science Tokyo developed a method to detect wind direction using seven strain gauges on a flapping wing and a convolutional neural network model. The system achieved high classification accuracy of 99.5% in detecting wind conditions, opening up new possibilities for improving robotic flight control.
Researchers studied kestrels' hovering flight behavior, revealing insights that could improve drone stability in turbulent conditions. The study found that birds use changes in wing surface area to achieve stable flight, a method that could be applied to morphing wings in drones.
Scientists have unveiled that beetles' hindwings are passively deployed and retracted, leveraging the elytra to deploy and retract while flapping forces unfold the wings. This finding has potential applications in designing new microrobots that can fly in confined spaces.
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.
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.
MIT researchers developed a new algorithm that can execute complex maneuvers like loops and rolls for tailsitter aircraft, enabling agile trajectories with fast-changing accelerations. The algorithm uses differential flatness to ensure feasibility and planning in real-time.
Researchers at Imperial College London developed a heat-resistant drone called FireDrone that can withstand temperatures of up to 200°C for ten minutes. The drone provides crucial first-hand data from danger zones to inform emergency response and help save lives.
Researchers created a robotic wing that can flap more efficiently than previous robots, mimicking the upstroke of birds. This study could lead to more efficient flapping drones for various applications, including deliveries.
Scientists at EPFL have developed a method for a flapping-wing robot to land autonomously on a horizontal perch using a claw-like mechanism. The innovation could significantly expand the scope of robot-assisted tasks and enable robots to recharge using solar energy.
A new study has found that springtails' jumping, soaring, and landing patterns are precise and controlled, with some species able to land on their feet. The research, led by Victor Ortega Jiménez, aims to teach robots how to replicate this ability.