Automotive
No one likes sitting at a red light. But signalized intersections aren't just a minor nuisance for drivers; vehicles consume fuel and emit greenhouse gases while waiting for the light to change.
May 17, 2022
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85
Robotics
Creating robots that can perform acrobatic movements such as flips or spinning jumps can be highly challenging. Typically, in fact, these robots require sophisticated hardware designs, motion planners and control algorithms.
Computer Sciences
Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural ...
Robotics
If bipedal robots are expected to successfully carry out intended tasks of search and rescue and disaster relief, then scientists and engineers will have to watch the robots' steps. It is built into the situation that the ...
Robotics
In recent years, computer scientists have developed increasingly advanced algorithms for controlling the movements of robotic agents. These include model predictive control (MPC) techniques, which use a model of the agent's ...
Robotics
Researchers at University of Bologna and Electrolux have recently developed a new robotic system that could assist humans with one of their most common everyday chores, doing laundry. This system, introduced in a paper published ...
Security
To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.
Nov 23, 2021
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161
Robotics
If you don't get seasick, an autonomous boat might be the right mode of transportation for you.
Oct 27, 2021
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299
Engineering
Wind technology is growing—literally. Today's offshore wind turbines can tower more than 490 feet above ground, their spinning blades churning out up to 8 megawatts (MW) each—about enough to power 4000 homes in the U.S.
Jun 15, 2022
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33
Robotics
Researchers at the University of Edinburgh have developed a hierarchical framework based on deep reinforcement learning (RL) that can acquire a variety of strategies for humanoid balance control. Their framework, outlined ...
