A team of researchers from University of Illinois at Urbana-Champaign and Stanford University led by Prof. Katie Driggs-Campbell, have recently developed a new deep reinforcement learning-based method that could improve the ability of mobile robots to safely navigate...
Recent technological advancements are opening new and exciting opportunities for communicating with others and visiting places remotely. These advancements include telepresence robots, moving robotic systems that allow users to virtually navigate remote environments...
Researchers at Tokyo Metropolitan University have created a robotic system that could automate the cleaning of restrooms in convenience stores and other public spaces. This system, introduced in a paper published in Advanced Robotics, will be competing in the...
Visual effects (VFX) can help to make videogames more engaging and immersive for players. However, they are often also designed to support players, for instance, by pointing them to specific locations or highlighting helpful game features.
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully...
Researchers at the Hybrid Robotics Group at UC Berkeley, Simon Fraser University and Georgia Institute of Technology have recently created a reinforcement learning model that allows a quadrupedal robot to efficiently play soccer in the role of goalkeeper. The model...
Kesterite (Cu2ZnSnS4, CZTS) is a sulfide mineral with a unique lattice structure that can be considered as derived from chalcopyrite CuInSe2 (CIS) by substituting two atoms of In3+ in the chalcopyrite by one atom of Zn2+ and one atom of Sn4+. The elements included in...
Conventional interfaces for computers and other electronics only allow humans to operate devices using their fingers. Recent technological advancements, however, have opened valuable opportunities for the development of alternative interfaces that use voice, eye...
Robotic systems are set to be introduced in a wide range of real-world settings, ranging from roads to malls, offices, airports, and healthcare facilities. To perform consistently well in these environments, however, robots should be able to cope well with...
Reservoir computing (RC) is an approach for building computer systems inspired by current knowledge of the human brain. Neuromorphic computing architectures based on this approach are comprised of dynamic physical nodes, which combined can process spatiotemporal...