Researchers create new kind of robot composed of many simple particles with no centralized control or single point of failure
In a new study published today in Nature, researchers at Columbia Engineering and MIT Computer Science & Artificial Intelligence Lab (CSAIL) demonstrate for the first time a way to make a robot composed of many loosely coupled components, or "particles."
Both brushed and brushless DC motors can be operated as generators. However, there are some important points to consider when designing the drive.
Columbia Engineering researchers have made a major advance in robotics by creating a robot that learns what it is, from scratch, with zero prior knowledge of physics, geometry, or motor dynamics.
ASU's Southwest Robotics Symposium previews the new technology guiding the next wave of human-robot interaction
"We can rely on the brain of the human and the muscles, eyes and sense of touch of the robot in places where humans cannot, or should not, be," said Khatib. "For example, we will be able to safely repair underwater structures
One of the basic requirements for the drives of mobile robots is high power density. For robots, this usually means high torque while taking up the smallest possible space.
Developed in the lab of Yale's Rebecca Kramer-Bottiglio, NASA-inspired robotic skins enable users to turn soft objects - a stuffed animal or a foam tube, for instance - into robots.
The BionicFinWave uses its two side fins to move along. They are completely cast from silicone and do without struts or other support elements. This makes them extremely flexible and thus able to implement the fluid wave movements of their biological role models
Professor Cagdas Onal receives $500,000 grant for robots that combine soft and rigid properties; Robots can help in disaster zones or assist those physically challenged with everyday tasks
The watery creation could lead to soft robots that mimic sea animals like the octopus, which can walk underwater and bump into things without damaging them.
Bill Ibelle for News@NorthEastern: While drones and driverless cars dominate the headlines, another breakthrough-robot dexterity-is likely to have an even greater impact in both business and everyday life
The problem of navigating safely among pedestrians poses unique challenges. These include the increased unpredictability of pedestrians actions, as well as the lack of navigation guidelines, such as lane lines.
Scott Schrage, University of Nebraska-Lincoln via Phys.org: The technique, which creates a stronger chemical bond between silicone and an unprecedented array of plastics, could greatly reduce the time, complexity and expense needed to produce the microfluidic devices.
The PerceptoCore enables us to have autonomous navigation including autonomous landing and a variety of real time missions done without needing human intervention. In addition, it provides a unique safety layer so even if the communication is cut, the drone still understands
Patrick Caughill for Futurism: The feature would use the onboard computing system to analyze conditions to determine the best course of action.
Oregon State University via Science Daily: "The point here with something like a self-adjusting shoe is it no longer resembles a robot -- that's kind of the direction of ubiquity we're imagining."
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Built out of individual modules that natively run ROS 2.0, MARA can be physically extended in a seamless manner. The modular robot arm delivers industrial-grade features such as a high-speed real time enabled ROS 2.0 communication interface, security protections or a hardware power lifecycle.