To better understand seas and oceans on Earth, their processes, and the living organisms inhabiting them, scientists must be able to explore them and collect data underwater. In recent years, roboticists have thus been trying to develop increasingly advanced systems that could aid the exploration and monitoring of underwater environments.
A study published in Advanced Healthcare Materials, details one team's ground-breaking stabilization of the enzyme Chondroitinase ABC, (ChABC) offering new hope for patients coping with spinal cord injuries.
Imperial researchers have designed a malleable robotic arm that can be guided into shape by a person using augmented reality (AR) goggles.
Phone makers and telecoms firms unveiled a series of gadgets and innovations at one of the industry's biggest get-togethers this week in Barcelona.
These ancient creatures can squeeze through the tiniest cracks, fit snugly into tight spaces and survive in harsh environments: There aren't many spaces that are off-limits to an insect.
High-fidelity touch has the potential to significantly expand the scope of what we expect from computing devices, making new remote sensory experiences possible. The research on these advancements, led by a pair of researchers from the J. Mike Walker Department of Mechanical Engineering at Texas A&M University, could help touchscreens simulate virtual shapes.
Start-up Avelo Airlines, which has established its East Coast hub at Tweed-New Haven Airport, said Thursday it has begun using autonomous robots to disinfect aircraft cabins to guard against the spread of COVID-19.
When we pick something up, we'll often jostle it around a bit, searching to get the best grip. A team of researchers have now developed a robotic hand that does something similar—a breakthrough that could advance the field of assistive robots.
Over the past decades, engineers have created devices with increasingly advanced functions and capabilities. A device capability that was substantially improved in recent years is known as "spatial computing."
Scientists who study human-robot interaction often focus on understanding human intentions from a robot's perspective, so the robot learns to cooperate with people more effectively. But human-robot interaction is a two-way street, and the human also needs to learn how the robot behaves.
A new study challenges the conventional approach to designing soft robotics and a class of materials called metamaterials by utilizing the power of computer algorithms. Researchers from the University of Illinois Urbana-Champaign and Technical University of Denmark can now build multimaterial structures without dependence on human intuition or trial-and-error to produce highly efficient actuators and energy absorbers that mimic designs found in nature.
Driving in eco mode can reduce fuel consumption and is good for both the environment and your wallet. In practice, however, it often causes immense frustration among drivers, causing them to quickly switch off the function. The mode prevents drivers from accelerating when they really need to, for example, when entering a motorway. Together with Renault, Delft robot engineers developed the Proactive Eco Mode, a new system that enables drivers to reach the desired speed faster, based on predictions of the future. They have successfully demonstrated the system on French roads.
In recent years, roboticists and computer scientists have been developing a wide range of systems that can detect objects in their environment and navigate it accordingly. Most of these systems are based on machine learning and deep learning algorithms trained on large image datasets.
In a paper published on February 23, 2022 in Nature Machine Intelligence, a team of scientists at the Max Planck Institute for Intelligent Systems (MPI-IS) introduce a robust soft haptic sensor named "Insight" that uses computer vision and a deep neural network to accurately estimate where objects come into contact with the sensor and how large the applied forces are. The research project is a significant step toward robots being able to feel their environment as accurately as humans and animals. Like its natural counterpart, the fingertip sensor is very sensitive, robust, and high-resolution.
Innovative airborne radars could soon be used to measure snow depth in New Zealand's alpine areas, helping to predict avalanche risk and monitoring the impacts of climate change.