ANU researcher Hanna Kurniawati is helping robots problem solve and care. Her work has not just shaped how AI works every day; it's been recognized with a major global prize.
A team of researchers affiliated with several institutions in Europe has found that swarms of tiny dumb vibrating robots are capable of carrying out sophisticated actions such as transporting objects or squeezing through tunnels. In their paper published in the journal Science Robotics, the group describes experiments they conducted with tiny dumb robots they called "bugs."
Large space structures, such as telescopes and spacecraft, should ideally be assembled directly in space, as they are difficult or impossible to launch from Earth as a single piece. In several cases, however, assembling these technologies manually in space is either highly expensive or unfeasible.
For the first time, an autonomously flying quadrotor has outperformed two human pilots in a drone race. The success is based on a novel algorithm that was developed by researchers of the University of Zurich. It calculates time-optimal trajectories that fully consider the drones' limitations.
Robopets are artificially intelligent machines created to look like an animal (usually a cat or dog, but they can be any animal). There are numerous robopets on the market right now, being sold to consumers as "pets" or companions. There is an especially fervent effort being made to set caregivers' minds at ease by buying these robopets for older adults to replace their deceased or surrendered companion animals.
Robopets are artificially intelligent machines created to look like an animal (usually a cat or dog, but they can be any animal). There are numerous robopets on the market right now, being sold to consumers as "pets" or companions. There is an especially fervent effort being made to set caregivers' minds at ease by buying these robopets for older adults to replace their deceased or surrendered companion animals.
Engineers at UC Riverside have unveiled an air-powered computer memory that can be used to control soft robots. The innovation overcomes one of the biggest obstacles to advancing soft robotics: the fundamental mismatch between pneumatics and electronics. The work is published in the open-access journal, PLOS One.
A team of researchers from the University of Maryland has 3D printed a soft robotic hand that is agile enough to play Nintendo's Super Mario Bros. - and win!
Amazon Inc. has applied for a patent on a package delivery system that involves a primary vehicle for carrying packages destined for multiple drop-off points, and a secondary, much smaller, delivery vehicle that carries packages from the primary vehicle to the end-point destination.
Neuro-evolutionary robotics is an attractive approach to realize collective behaviors for swarms of robots. Despite the large number of studies that have been devoted to it and although many methods and ideas have been proposed, empirical evaluations and comparative analyses are rare.
When there is a gas leak in a large building or at an industrial site, human firefighters currently need to go in with gas sensing instruments. Finding the gas leak may take considerable time, while they are risking their lives. Researchers from TU Delft (the Netherlands), University of Barcelona, and Harvard University have now developed the first swarm of tiny—and hence very safe—drones that can autonomously detect and localize gas sources in cluttered indoor environments.
Basic safety needs in the paleolithic era have largely evolved with the onset of the industrial and cognitive revolutions. We interact a little less with raw materials, and interface a little more with machines.
A group of researchers from Carnegie Mellon and UC Berkeley working with a team at Facebook AI has developed a new type of reactive locomotive system for robots. Called rapid motor adaptation, it allows a robot to traverse a variety of terrain types by learning from past experiences. The group has written a paper describing their new technology and how well it worked when tested and have posted it on the arXiv preprint server.
Production, warehouse, shipping—where goods are produced, stored, sorted or packed, picking also takes place. This means that several individual goods are removed from storage units such as boxes or cartons and reassembled. Researchers at the Karlsruhe Institute of Technology (KIT), together with partners from Germany and Canada, want to make picking robots smarter using distributed AI methods. To do this, they are investigating how to use training data from multiple stations, from multiple plants, or even companies without requiring participants to hand over sensitive company data.
By combining two distinct approaches into an integrated workflow, Singapore University of Technology and Design (SUTD) researchers have developed a novel automated process for designing and fabricating customized soft robots. Their method, published in Advanced Materials Technologies, can be applied to other kinds of soft robots—allowing their mechanical properties to be tailored in an accessible manner.