The tiny tube circled an ant's thorax, gently trapping the insect and demonstrating the utility of a microrobotic tentacle developed by Iowa State Univ. engineers. While most robots squeeze two fingers together to pick things up, these tentacles wrap around items gently.
Someday, treating patients with nanorobots could become standard practice to deliver medicine...
At the International Conference on Robotics and Automation, Massachusetts Institute of...
Having achieved promising results in proof–of–concept prototyping and experimental testing, a...
Researchers discovered a large, previously unknown field of hydrothermal vents in the Gulf of California, about 100 miles east of La Paz, Mexico. Lying more than 12,500 feet below the surface, the Pescadero Basin vents are the deepest high-temperature hydrothermal vents ever observed in or around the Pacific Ocean. They are also the only vents known to emit superheated fluids rich in both carbonate minerals and hydrocarbons.
Decentralized partially observable Markov decision processes are a way to model autonomous robots’ behavior in circumstances where neither their communication with each other nor their judgments about the outside world are perfect. The problem with Dec-POMDPs is that they’re as complicated as their name. They provide the most rigorous mathematical models of multi-agent systems under uncertainty.
There’s an urgent demand for new antimicrobial compounds that are effective against constantly emerging drug-resistant bacteria. Two robotic chemical-synthesizing machines, named Symphony X and Overture, have joined the search. Their specialty is creating custom nanoscale structures that mimic nature’s proven designs. They’re also fast, able to assemble dozens of compounds at a time.
Male moths locate females by navigating along the latter's pheromone (odor) plume, often flying hundreds of meters to do so. Two strategies are involved to accomplish this: males must find the outer envelope of the pheromone plume, and then head upwind. Can understanding such insect behavior be useful for robotics research?
In a leap for robot development, the Massachusetts Institute of Technology researchers who built a robotic cheetah have now trained it to see and jump over hurdles as it runs, making this the first four-legged robot to run and jump over obstacles autonomously. To get a running jump, the robot plans out its path, much like a human runner: As it detects an approaching obstacle, it estimates that object’s height and distance.
What if handheld tools know what needs to be done and were even able to guide and help inexperienced users to complete jobs that require skill? Researchers at the Univ. of Bristol have developed and started studying a novel concept in robotics: intelligent handheld robots.
Today’s industrial robots are remarkably efficient, as long as they’re in a controlled environment where everything is exactly where they expect it to be. But put them in an unfamiliar setting, where they have to think for themselves, and their efficiency plummets. And the difficulty of on-the-fly motion planning increases exponentially with the number of robots involved.
Univ. of California, Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence. They demonstrated their technique, a type of reinforcement learning, by having a robot complete various tasks without pre-programmed details about its surroundings.
Using a smart tablet and a red beam of light, Georgia Institute of Technology researchers have created a system that allows people to control a fleet of robots with the swipe of a finger. A person taps the tablet to control where the beam of light appears on a floor. The swarm robots then roll toward the illumination, constantly communicating with each other and deciding how to evenly cover the lit area.
Robotic dogs are likely to replace the real thing in households worldwide in as little as a decade, as our infatuation with technology grows and more people migrate to high-density city living. University of Melbourne animal welfare researcher Dr. Jean-Loup Rault says the prospect of robopets and virtual pets is not as far-fetched as we may think.
To make cars as safe as possible, we crash them into walls to pinpoint weaknesses and better protect people who use them. That’s the idea behind a series of experiments conducted by a Univ. of Washington engineering team who hacked a next-generation teleoperated surgical robot to test how easily a malicious attack could hijack remotely controlled operations in the future and to make those systems more secure.
For the last decade, scientists have deployed increasingly capable underwater robots to map and monitor pockets of the ocean to track the health of fisheries, and survey marine habitats and species. In general, such robots are effective at carrying out low-level tasks, specifically assigned to them by human engineers, a tedious and time-consuming process for the engineers.
For decades, robots have advanced the efficiency of human activity. Typically, however, robots are formed from bulky, stiff materials and require connections to external power sources; these features limit their dexterity and mobility. But what if a new material would allow for development of a "soft robot" that could reconfigure its own shape and move using its own internally generated power?
Most people are naturally adept at reading facial expressions to tell what others are feeling. Now scientists have developed ultra-sensitive, wearable sensors that can do the same thing. Their technology, reported in the ACS Nano, could help robot developers make their machines more human.
In a rolling, outdoor field, full of lumps, bumps and uneven terrain, researchers at Oregon State University last week successfully field-tested for the first time the locomotion abilities of a two-legged robot with technology that they believe heralds the running robots of the future.
A Univ. of Sydney researcher has designed and successfully tested a method for autonomously docking drones for refueling or recharging, in mid-air. He used a combination of precise measurements from an infrared camera, with GPS and inertial sensors to allow the sky-high docking to occur.
A first-of-its-kind robotic vehicle recently dove to depths never before visited under Antarctica’s Ross Ice Shelf and brought back video of life on the seafloor. A team of scientists and engineers from the Georgia Institute of Technology assembled the unmanned, underwater vehicle on Antarctica. They deployed (and retrieved) the vehicle through a 12-in diameter hole through 20 m of ice and another 500 m of water to the sea floor.
Dielectric elastomers are novel materials for making actuators or motors with soft and lightweight properties that can undergo large active deformations with high-energy conversion efficiencies. This has made dielectric elastomers popular for creating devices such as robotic hands, soft robots, tunable lenses and pneumatic valves, and possibly flapping robotic wings.
Researchers at Carnegie Mellon Univ. (CMU) who develop snake-like robots have picked up a few tricks from real sidewinder rattlesnakes on how to make rapid and even sharp turns with their undulating, modular device. Working with colleagues at the Georgia Institute of Technology and Zoo Atlanta, they have analyzed the motions of sidewinders and tested their observations on CMU’s snake robots.
The most realistic risks about the dangers of artificial intelligence are basic mistakes, breakdowns and cyber attacks, an expert in the field says—more so than machines that become super powerful, run amok and try to destroy the human race.
Researchers building a new underwater robot they’ve dubbed the “Millennium Falcon” certainly have reason to believe it will live up to its name. The robot will deploy instruments to gather information in unprecedented detail about how marine life interacts with underwater equipment used to harvest wave and tidal energy.
People typically consider doing the laundry to be a boring chore. But laundry is far from boring for artificial intelligence (AI) researchers. To AI experts, programming a robot to do the laundry represents a challenging planning problem because current sensing and manipulation technology is not good enough to identify precisely the number of clothing pieces that are in a pile and the number that are picked up with each grasp.
Scientists have developed an octopus-like robot, which can zoom through water with ultra-fast propulsion and acceleration never before seen in man-made underwater vehicles. Most fast aquatic animals are sleek and slender to help them move easily through the water but cephalopods, such as the octopus, are capable of high-speed escapes by filling their bodies with water and then quickly expelling it to dart away.
When disaster strikes, it's important for responders and emergency officials to know what critical infrastructure has been damaged so they can direct supplies and resources accordingly. Doug Stow, a geography professor from San Diego State Univ., is developing a program that uses before-and-after aerial imagery to reveal infrastructure damage in a matter of minutes.
Many people imagine robots today as clunky, metal versions of humans, but scientists are forging new territory in the field of “soft robotics”. One of the latest advances is a flexible, microscopic hand-like gripper. The development could help doctors perform remotely guided surgical procedures or perform biopsies. The materials also could someday deliver therapeutic drugs to hard-to-reach places.
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