Thermal sensors and synthetic data can help train robots for a wider range of scenarios than traditional sensors alone, says Bifrost AI.
Researchers with DARPA’s Machine Common Sense (MCS) program demonstrated a series of improvements to robotic system performance over multiple experiments. Just as infants must learn from experience, ...
Inside the robotics laboratory of the Toyota Research Institute (TRI) in Cambridge, Massachusetts, a group of robots are busy cooking. There is nothing special about that; robotic chefs have been ...
(Nanowerk News) By watching their own motions with a camera, robots can teach themselves about the structure of their own bodies and how they move, a new study from researchers at Columbia Engineering ...
A new study from researchers at the University of Michigan shows that feeding a robot fabricated or augmented data when no data sets were available increases the ability of that robot’s performance by ...
Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...
An IEEE senior member discusses the results of the organization's global study on the potential impact of AI robotics.
Ancient mudras offer a blueprint for smoother robot hand movement and could inspire new approaches to motor training and ...
Thanks to researchers at TU Wein in Vienna, the promise of housecleaning robots is one step closer. The team has developed a self-learning robot to mimic humans to complete simple tasks like cleaning ...
Researchers at the University of California at Berkeley have developed algorithms that allow robots to learn by making mistakes -- just like a real person. Michelle Starr is CNET's science editor, and ...
A robot dog can learn to walk on unfamiliar and hard-to-master terrain, such as grass, bark and hiking trails, in just 20 minutes, thanks to a machine learning algorithm. Most autonomous robots have ...
Researchers have developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its ...