Robotics
As robots replace humans in dangerous situations such as search and rescue missions, they need to be able to quickly assess and make decisions—to react and adapt like a human being would. Researchers at the University of ...
Oct 21, 2020
0
44
Robotics
The field of robotics took one step forward—followed by another, then several more—when a robot called Rainbow Dash recently taught itself to walk. The four-legged machine only required a few hours to learn to walk backward ...
Robotics
The prospect of robots that can learn for themselves—through artificial intelligence and adaptive learning—has fascinated scientists and movie-goers alike. Films like Short Circuit, Terminator, Millennial Man, Chappie ...
Mar 7, 2016
0
36
Robotics
Semi-autonomous and autonomous robots are being introduced in a growing number of real-world environments, including industrial settings. Industrial robots could speed up the manufacturing of various products by assisting ...
Machine learning & AI
The processes underlying artificial intelligence today are in fact quite dumb. Researchers from Bochum are attempting to make them smarter.
Oct 24, 2019
0
54
Computer Sciences
In recent years, computer scientists have developed artificial intelligence-based techniques that can complete a wide variety of tasks. Some of these techniques are designed to artificially replicate the human senses, particularly ...
Computer Sciences
Researchers at the University of Lorraine have recently devised a new type of transfer learning based on model-free deep reinforcement learning with continuous sensorimotor space enlargement. Their approach, presented in ...
Robotics
Cambridge engineers have shown how a robotic arm can control the journey of a floating object remotely by manipulating surface waves on the water. Using recent advances in deep reinforcement learning—a field of artificial ...
Jan 28, 2022
0
267
Robotics
While robots have become increasingly advanced over the past few years, most of them are still unable to reliably navigate very crowded spaces, such as public areas or roads in urban environments. To be implemented on a large-scale ...
Computer Sciences
Brian Mitchell and Linda Petzold, two researchers at the University of California, have recently applied model-free deep reinforcement learning to models of neural dynamics, achieving very promising results.
