Articles tagged with Robots
Researchers at Cornell University have created an insect-scale quadrupedal robot powered by combustion that can outrace, outlift, and outflex its electric-driven counterparts. The robot's actuators produce 9.5 newtons of force and operate at frequencies greater than 100 hertz.
A research team at Toyohashi University of Technology has developed a technique to create training data for robots that estimate the state of users using machine learning. The method uses a human body link model without requiring movement analysis, enabling care robots to assist elderly with reduced burden and improved safety.
Researchers at the University of Washington have developed small robotic devices that can change their shape in mid-air using a Miura-ori origami fold, enabling battery-free control over descent. The devices can transition from tumbling to falling states, allowing for precise landings in turbulent wind conditions.
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.
Researchers created a robot-assisted dressing system using artificial intelligence to accommodate various human body shapes, arm poses, and clothing selections. The system was evaluated in a human study with 510 trials across 17 participants, achieving an average success rate of 86% in pulling the sleeve of each garment onto their arm.
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.
Researchers at the University of Texas at Austin created a noninvasive EEG sensor that can measure brain activity during immersive VR interactions. The device has potential applications in helping people with anxiety, measuring mental stress, and giving humans insight into robot behavior.
Researchers found a U-shaped effect on profit margins due to the relationship between reducing costs, developing new processes, and innovating products. Initially, firms focus on cost reduction, but as robot adoption increases, they shift to product innovation, leading to higher profits.
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.
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.
Researchers at North Carolina State University have developed a new robot called RoboMapper that can conduct experiments more efficiently and sustainably to develop new semiconductor materials. The robot automates the process of testing multiple samples simultaneously, reducing time and energy consumption by nearly 10 times.
Researchers at UC San Diego developed a robotic hand that can rotate objects solely through touch without relying on vision. The system uses low-cost, binary signals from multiple sensors to detect object contact and perform precise rotations.
Researchers developed a cost-effective method using LEGO robots to purify complex DNA structures. The technique, called rate-zonal centrifugation, utilizes the LEGO kit's gradient-mixing capabilities to separate and isolate individual components of the nanostructures.
The robot uses two front limbs mimicking turtle hatchlings' oversized flippers to detect obstacles and navigate through sand. It has the potential to inspect grain silos, measure soil contaminants, and aid in search and rescue operations.
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 at Carnegie Mellon University have created a new model, Vision-Robotics Bridge, which enables robots to learn from observing humans complete tasks in any environment. The robots successfully learned 12 tasks, including opening drawers and picking up objects, with minimal practice time of just 25 minutes.
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.
The Mori3 robot is a polygon shape-shifting robot designed for space travel, capable of morphing into any 3D object and adapting to various environments. Its versatility makes it an ideal candidate for communication and external repairs in spacecraft.
Researchers trained a robotic chef to watch and learn from cooking videos, enabling it to identify ingredients and actions. The robot recognized 93% of the correct recipe from 16 videos, including variations and new recipes, showcasing its potential for automated food production and cost-effective deployment.
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 at Carnegie Mellon University argue against granting rights to robots, instead suggesting a Confucian approach of assigning roles to promote teamwork and harmony. This alternative perspective recognizes the moral status of robots as entities capable of participating in rites and contributing to society.
Researchers developed an automated spot assay system using a liquid-dispensing robot to evaluate yeast growth potential on agar media. The new system, which corrects variations in agar height and automatically observes and quantifies yeast growth, showed comparable accuracy to manual experiments.
Washington State University researchers developed a robotic bee that can fly fully in all directions, including twisting motion. The Bee++ prototype achieves six degrees of free movement and is controlled by an artificial brain that acts like an insect's brain.
Researchers discovered that students working with a social robot featuring a charismatic voice produced more original and elaborate ideas compared to those who interacted with an identical robot using a flat voice. The study found that the charismatic robot's engaging tone increased team positivity, perceived effectiveness, and creativ...
Researchers at the University of Waterloo have developed a robot system that uses artificial intelligence to track objects, including medication and glasses. This technology has shown high accuracy in locating everyday items, potentially improving the quality of life for individuals with dementia.
A Cornell University-led study using the Tetris game found that players who receive fewer turns perceive their partner as less likable, regardless of whether a human or AI allocates the turns. The researchers also discovered that machine allocation behavior can lead to worse performance and gameplay when fairness is not guaranteed.
Researchers found that highly work-relevant personal information from an AI agent elicits greater empathy in users, while less or no disclosure leads to suppressed empathy. This study suggests self-disclosure could be used to improve people's acceptance of AI technologies.
Researchers at Columbia University have created a highly dexterous robot hand that combines advanced sensing technology with motor learning algorithms to achieve high dexterity. The hand can perform complex tasks such as rotating an unevenly shaped object without visual feedback, and even operates in dark environments.
Researchers have developed a jellyfish-like robot capable of collecting and transporting waste particles in the ocean without causing harm to marine species. The robot uses electrohydraulic actuators to swim and create currents, allowing it to trap objects along its path and transport them to the surface for recycling.
A novel robotic bronchoscope system is developed to diagnose and biopsy pulmonary lesions, enabling early detection of lung cancer. The system features a flexible end effector and navigation system for accurate positioning and visualization.
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.
Four to eleven-year-olds deemed Alexa more human-like, but neither robot deserved to be harmed or yelled at. As kids advanced towards adolescence, the feeling dwindled, and older children reported it was slightly more acceptable to attack technology.
Researchers developed a biologically inspired 'vaping robot' to mimic human breathing patterns and tested commercially available e-liquids containing menthol. The study found that menthol vapers took shallower breaths and had poorer lung function compared to non-menthol smokers, regardless of age or smoking history.
Researchers found that players' brains respond differently to human and machine opponents, with desynchronization indicating active calculations. The study suggests that training with machines may not replicate the experience of playing against humans.
The University of Huddersfield has launched a smart rolling stock maintenance research facility to investigate cutting-edge technologies for improving the efficiency and reliability of train maintenance. The facility aims to reduce costs, increase reliability, and make rail travel more affordable.
A team of researchers has developed non-invasive, 3D-printed graphene-based sensors that can accurately monitor brain activity. The new dry sensors show promise for enabling 'mind-controlled' robots and expanding the applications of brain-machine interfaces.
Researchers developed a robotic finger with high-resolution sensors that capture data along the entire length of each finger. The three-fingered robotic hand can identify objects after just one grasp, with 85% accuracy, using tactile sensing and machine-learning algorithms.
A team of experts at the University of Manchester has received €2.5million funding to design smarter robots that can understand humans' inner feelings through language. The project aims to develop robots that can engage meaningfully with older generations, helping them in everyday life.
Assistant Professor Reza Ahmadzadeh at UMass Lowell has been awarded a $500,000 NSF CAREER grant to develop new algorithms for robots to learn complex tasks. The project aims to improve robot performance in everyday tasks, enabling them to assist older adults with daily chores and automate difficult duties in the workplace.
Researchers developed a temperature-modulating robotic system to study honeybee behavior in winter, demonstrating its ability to influence movement and prolong colony survival. The system also revealed previously unreported dynamics and shed light on critical periods for bee development.
The caterpillar-bot uses a novel pattern of silver nanowires to control its movement, with the ability to steer in both directions and navigate through tight spaces. The robot's movement is driven by heating and cooling cycles that allow it to 'relax' before contracting again.
Researchers at Waseda University developed a four-wheeled robot capable of sowing, pruning, and harvesting in dense vegetation, improving efficiency by 49% compared to manual control. The robot's advanced maneuvering system reduces damage to plants and increases farming productivity in various environments.
The University of Technology Sydney has developed a brain-computer interface technology that allows users to control devices such as robots and machines using only their thoughts. The technology has been successfully tested in various environments, achieving high accuracy rates of up to 94%. It also has significant potential in fields ...
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 Carnegie Mellon University have created a soft material with metal-like conductivity and self-healing properties that can support digital electronics and motors. The material has been demonstrated in various applications, including powering motors and enabling reconfigurable circuits.
Researchers have developed a robotic system called AngleNet that measures leaf angles on corn plants, providing plant breeders with accurate data more quickly. The technology uses stereo vision and deep convolutional neural networks to capture images of leaves at different heights, enabling 3D modeling and precise measurements.
Researchers at Carnegie Mellon University have developed a latch control system that enables grasshopping robots to perform efficiently on soft substrates. The team discovered that the latch can not only regulate energy output but also mediate energy transfer between the robot and its environment, leading to improved jump performance.
A research team led by Britney Schmidt deployed an underwater robot, Icefin, to explore the Kamb Ice Stream in Antarctica. The robot's findings reveal unprecedented views of ice, ocean, and sea floor interactions, which can improve models of sea-level rise.
A team of Brown researchers has developed a new, highly accurate method for detecting antidepressants in patients using liquid chromatography tandem mass spectrometry. The technique requires minimal biological samples and can be fully automated using liquid-handling robots.
FRIDA uses AI models similar to those powering tools like ChatGPT and DALL-E 2 to generate paintings based on user input. The robot's final products are impressionistic and whimsical, with bold brushstrokes that lack precision sought in robotic endeavors.
Researchers at MIT create a novel approach to building deformable underwater robots using simple repeating substructures. The system can assemble into various shapes and sizes, offering scalability and efficiency improvements over current technologies.
Researchers developed a machine learning model using advanced 2D chemical descriptors to predict highly selective asymmetric catalysts without quantum chemical computations. The model demonstrated high accuracy in predicting catalyst structures and selectivity, outperforming existing methods.
Researchers at KAIST developed a quadrupedal robot control technology that enables robots to walk robustly on deformable terrain like sandy beaches. The technology uses artificial neural networks to simulate ground characteristics and adapt to changing environments, allowing the robot to maintain balance and perform high-speed walking.
Researchers developed an artificial skin with superior sensing capabilities, detecting pressure and approach signals for various applications. The innovation has potential in human-machine interfaces, artificial intelligence, prosthesis, and augmented reality.
Engineers design miniature robots that can rapidly shift between liquid and solid states, with magnetic properties, to overcome traditional robot limitations. The new material is used to remove foreign objects, deliver drugs, and assemble parts in hard-to-reach spaces, opening up new possibilities for medical and engineering applications.
Scientists successfully used lab-produced tissue samples to remotely control muscle-driven miniature robots with this innovative technology. The device allows researchers a new level of interaction and exploration in the field of biological robots.
Researchers from Singapore University of Technology and Design developed a new reconfigurable workspace soft robotic gripper that can pick and place a wide range of consumer items. The RWS gripper's adaptive capabilities make it particularly useful in logistics and food industries where robotic automation is crucial.
M.A.R.V.E.L.'s magnetic soles made of Electro-Permanent Magnet (EPM) and Magneto-Rheological Elastomer (MRE) enable fast movement on uneven surfaces. The robot can climb at speeds of up to 70 cm/s on walls and 50 cm/s on ceilings, making it the world's fastest walking climbing robot.
A team of simple robots, nicknamed RAnts, use photormones to escape a corral and perform complex tasks. The research reveals how collective cooperation can arise from simple rules, applicable to solving problems like construction, search and rescue, and defense.
A study by MIT economists suggests that a modest tax on robots and foreign trade could help address income inequality in the US. The optimal policy includes taxes ranging from 1% to 3.7% of robot value, with smaller trade taxes, aiming to reduce wage gaps without stifling economic growth.