Page 79 of 504
1 77 78 79 80 81 504

Computational approach could continually teach robots new skills via dialogue

While roboticists have introduced increasingly sophisticated robotic systems over the past decades, most of the solutions introduced so far are pre-programmed and trained to tackle specific tasks. The ability to continuously teach robots new skills while interacting with them could be highly beneficial and could facilitate their widespread use.

Team develops versatile knee exoskeletons for safer lifting

A set of knee exoskeletons, built with commercially available knee braces and drone motors at the University of Michigan, has been shown to help counteract fatigue in lifting and carrying tasks. They helped users maintain a better lifting posture even when tired, a key factor in defending against on-the-job injuries, say the researchers of a new paper published in the journal Science Robotics.

Hexagonal electrohydraulic modules shape-shift into versatile robots

Scientists at MPI-IS have developed electrically driven robotic components, called HEXEL modules, which can snap together into high-speed reconfigurable robots. Magnets embedded along the outside of the modules allow them to electrically and mechanically connect to other modules, forming robots with diverse shapes and capabilities. HEXEL modules are a promising technology for use in resource-limited environments, such as on space or rescue missions, and can be used to construct versatile robots from redundant parts, altogether promoting a sustainable robot design.

Combining soft artificial muscles with a rigid, magnetic exoskeleton to create building blocks for versatile robots

Scientists at the Max-Planck-Institute for Intelligent Systems (MPI-IS) have developed hexagon-shaped robotic components, called modules, that can be snapped together LEGO-style into high-speed robots that can be rearranged for different capabilities.

Artificial intelligence grunt work can be outsourced using a new blockchain-based framework developed by Concordians

Researchers have developed a new framework to make complex AI tasks more accessible and transparent to users. The framework specializes in providing solutions to deep reinforcement learning (DRL) requests. The framework pairs developers, companies and individuals that have specific but out-of-reach AI needs with service providers who have the resources, expertise and models they require. The service is crowdsourced, built on a blockchain and uses a smart contract -- a contract with a pre-defined set of conditions built into the code -- to match the users with the appropriate service provider.
Page 79 of 504
1 77 78 79 80 81 504