news, journals and articles from all over the world.
Chulalongkorn University extends its congratulations to Associate Professor Dr. Ronnapee Chaichaowarat, a lecturer from the International Engineering Program at the Faculty of Engineering, for reaching the final round of the 2024 Young Technologist Award, organized by the Foundation for the Promotion of Science and Technology under the Patronage of His Majesty the King.
Teleoperated robots for gathering moon dust are a step closer, according to new research by scientists at the University of Bristol.
Abstract Despite the increasing use of robots in marketing to improve consumers’ perceptions of brand image, relatively little is known about how the positioning of robots (i.e., as either partners or servants) influences consumer evaluations of brands employing service robots.…
Two new studies introduce AI systems that use either video or photos to create simulations that can train robots to function in the real world. This could significantly lower the costs of training robots to function in complex settings.
Abstract Research has focused on exploring the distinction between human employees and AI robots. However, little is known about customer perceptions of service fairness towards AI robots (vs. human employees). A mixed-methods approach was adopted including a qualitative study which…
Abstract Service warmth, defined as kindness, sincerity and helpfulness experienced by customers, is a critical component of service delivery. Using a combination of questionnaire surveys and roleplay experiments involving customers, employees, and their supervisors, this study investigated how employee service…
Abstract Consumers are increasingly embracing robots and AI. This has led them to suffer psychological tensions in their AI experiences (e.g., data capture, classification, delegation and social experiences). This exploratory research proposes that AI with higher perceived automated presence (sense…
A robot, designed to mimic the motion of a snail, has been developed by researchers at the University of Bristol.
ETRI research team has developed a technology that automatically evaluates the performance of task plans generated by Large Language Models (LLMs), which paves the way for fast and objective assessment of task planning AIs.
University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.
A new robotic suction cup which can grasp rough, curved and heavy stone, has been developed by scientists at the University of Bristol.
Engineers at Binghamton University, State University of New York have programmed a robot guide dog to assist the visually impaired. The robot responds to tugs on its leash.
Australian researchers have designed an algorithm that can intercept a man-in-the-middle (MitM) cyberattack on an unmanned military robot and shut it down in seconds.
A device has been created that could carry out Clinical Breast Examinations (CBE).
Researchers have designed a robot which can change form to tackle varying scenarios.
The robot, equipped with a solar panel–like energy harvester and four wheels, is about the size of a penny, weighs as much as a raisin and can move about the length of a bus in an hour on a cloudy day.
Ron Alterovitz, PhD, in the UNC Computer Science Department, and Jason Akulian, MD MPH, in the UNC School of Medicine, have shown that their steerable lung robot can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.
Cornell researchers combined soft microactuators with high-energy-density chemical fuel to create an insect-scale quadrupedal robot that is powered by combustion and can outrace, outlift, outflex and outleap its electric-driven competitors.
An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions.
Cornell University researchers have developed a robot, called ReMotion, that occupies physical space on a remote user’s behalf, automatically mirroring the user’s movements in real time and conveying key body language that is lost in standard virtual environments.
To accelerate development of useful new materials, researchers at Berkeley Lab are building a new kind of automated lab that uses robots guided by artificial intelligence. A-Lab will rapidly test whether materials that have been computationally predicted can be made in reality. The lab’s vision is to use AI to discover materials of the future, starting with a focus on materials for batteries and energy storage.
With the impact of industrial robots on the U.S. labor markets in the past two decades, and an ever-increasing presence of machine-driven technology (such as artificial intelligence and ChatGPT), many employees have feared that one day robots will take their jobs. Not necessarily so, according to research recently published by Yong Suk Lee, an assistant professor in the University of Notre Dame’s Keough School of Global Affairs.
Researchers at the University of New Hampshire will receive a five-year grant totaling $2.8 million from the National Institutes of Health (NIH) to develop and test social assistive robots to aid in the care of individuals with Alzheimer’s disease and related dementia in the comfort of their own homes.
The work, led by Johns Hopkins University, the Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency.
As more artificial intelligence systems and robots aid human workers, building trust between them is key to getting the job done. One University of Georgia professor is seeking to bridge that gap with assistance from the U.S. military.
In Applied Physics Letters, researchers outline how a robot could be taught to navigate through a maze by electrically stimulating a culture of brain nerve cells connected to the machine. These nerve cells were grown from living cells and acted as the physical reservoir for the computer to construct coherent signals. These findings suggest goal-directed behavior can be generated without any additional learning by sending disturbance signals to an embodied system.
Researchers are developing a robot that utilizes deep learning to automate certain aspects of the peach cultivation process, which could be a boon for many Georgia peach farms grappling with a shortage of workers. The self-navigating robot uses an embedded 3D camera to determine which trees need to be pruned or thinned, and removes the branches or peaches using a claw-like device attached to its arm.
An innovative underwater robot known as Mesobot is providing researchers with deeper insight into the vast mid-ocean region known as the “twilight zone.” Capable of tracking and recording high-resolution images of slow-moving and fragile zooplankton, gelatinous animals, and particles, Mesobot greatly expands scientists’ ability to observe creatures in their mesopelagic habitat with minimal disturbance. This advance in engineering will enable greater understanding of the role these creatures play in transporting carbon dioxide from the atmosphere to the deep sea, as well as how commercial exploitation of twilight zone fisheries might affect the marine ecosystem.
Artificial intelligence is part of our modern life by enabling machines to learn useful processes such as speech recognition and digital personal assistants. A crucial question for practical applications is how fast such intelligent machines can learn. An experiment at the University of Vienna has answered this question, showing that quantum technology enables a speed-up in the learning process.
Scientists often look to nature for cues when designing robots – some robots mimic human hands while others simulate the actions of octopus arms or inchworms. Now, researchers in the University of Georgia College of Engineering have designed a new soft robotic gripper that draws inspiration from an unusual source: pole beans.
Researchers in Japan and Italy are embracing chaos and nonlinear physics to create insectlike gaits for tiny robots — complete with a locomotion controller to provide a brain-machine interface. Biology and physics are permeated by universal phenomena fundamentally grounded in nonlinear physics, and it inspired the researchers’ work. In the journal Chaos, the group describes using a system of three nonlinear differential equations as a building block for central pattern generators to control the gait of a robotic insect.
A University of Washington-led team has developed Smellicopter: an autonomous drone that uses a live antenna from a moth to navigate toward smells. Smellicopter can also sense and avoid obstacles as it travels through the air.
A bioethicist lays out the ethical rationale to develop robots for isolated and disabled older people – a population increasingly alone due to COVID-19. Many lonely seniors would value a robot for companionship and sexual gratification, writes Nancy Jecker at the Univ. of Washington School of Medicine.
With a training technique commonly used to teach dogs to sit and stay, Johns Hopkins University computer scientists showed a robot how to teach itself several new tricks, including stacking blocks. With the method, the robot, named Spot, was able to learn in days what typically takes a month.
A team of researchers is creating mobile robots for military applications that can determine, with or without human intervention, whether wheels or legs are more suitable to travel across terrains. The adaptable Wheel-and-Leg Transformable Robot can traverse over varying surfaces, including staircases, more efficiently.
Engineers at the University of California San Diego have built a squid-like robot that can swim untethered, propelling itself by generating jets of water. The robot carries its own power source inside its body. It can also carry a sensor, such as a camera, for underwater exploration. The researchers detail their work in a recent issue of Bioinspiration and Biomimetics.
A team of University of California researchers is working to improve telepresence robots and the algorithms that drive them to help children with disabilities stay connected to their classmates, teachers and communities. The effort is funded by a $1 million grant from the National Robotics Initiative at the National Science Foundation.
Engineering researchers have developed soft robots inspired by jellyfish that can outswim their real-life counterparts. More practically, the new jellyfish-bots highlight a technique that uses pre-stressed polymers to make soft robots more powerful.
For the next several months, visitors to the Atlanta Botanical Garden will be able to observe the testing of a new high-tech tool in the battle to save some of the world’s most endangered species. SlothBot, a slow-moving and energy-efficient robot that can linger in the trees to monitor animals, plants, and the environment below, will be tested near the Garden’s popular Canopy Walk.
By chasing cockroaches through an obstacle course and studying their movements, the Johns Hopkins engineers that brought you the cockroach robot and the snake robot discovered that animals’ movement transitions corresponded to overcoming potential energy barriers and that they can jitter around to traverse obstacles in complex terrain.
Built with wheeled appendages that can be lifted and wheels able to wiggle, a new robot known as the “Mini Rover” has developed and tested complex locomotion techniques robust enough to help it climb hills covered with granular material – and avoid the risk of getting stuck on some remote planet or moon.
Detecting gender bias against robots was the original intent of a study that revealed two surprises: The gender bias didn’t appear. In its place, people were predisposed to find robots mostly incompetent, regardless of gender.
“Look beneath the fears that fracture our society,” says Dustin Abnet, “and you’re likely to find a robot lurking there.” Even during a global health crisis such as COVID-19, robots — or at least desires for them — are present. Whether…
Bioengineers have created a blood-drawing robot that performed as well or better than technicians. The device could increase blood draw success from difficult- to-find veins and allow healthcare workers more time to treat patients.
In a new Science Robotics editorial published today, experts discuss the potential use of robots to combat COVID-19 by decreasing risks posed to humans, safely resuming halted manufacturing and making teleoperations more efficient. Much of the work required in combatting…
Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs. Their research results, published in the journal Nature Machine Intelligence, suggest that autonomous systems like the image-guided robotic device could outperform people on some complex medical tasks.
In the future, robots could take blood samples, benefiting patients and healthcare workers alike. A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device.
A Tufts University team is one of four grand prize winners in the National Science Foundation’s search for big ideas to inform its research agenda for the coming decade.
New Brunswick, N.J. (Jan. 27, 2020) – Robots can be programmed to perform tasks such as painting to generate exposure data on potentially harmful contaminants, according to a study in the Journal of Exposure Science & Environmental Epidemiology that was co-led…
Scientists repurposed living frog cells—and assembled them into entirely new life-forms. These tiny “xenobots” can move toward a target and heal themselves after being cut. These novel living machines are neither a traditional robot nor a known species of animal. They’re a new class of artifact: a living, programmable organism.
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