A machine-learning algorithm to study the behavior of proteins within cells and to predict their ability to trigger neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinson's, ...
Humans no longer have exclusive control over training social robots to interact effectively, thanks to a new study from the University of Surrey and the University of Hamburg. The study, which will be ...
AZoBuild on MSN
Researchers Develop Smarter Path-Planning Method for Construction Robots Using AI and BIM
A recent study published in Buildings introduces a new approach to path planning for construction robots, combining an ...
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...
Humans no longer have exclusive control over training social robots to interact effectively, thanks to a new study from the University of Surrey and the University of Hamburg. The study, presented at ...
In a study that delves into the ever-evolving world of robotics, researchers have embarked on an intriguing challenge: pitting humans against 27 humanoid robots to see who is "far superior." The study ...
ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...
A new study by an international team of scientists has outlined the potential for a new class of robots that can match the capabilities of humans. These advances are driven by the convergence of ...
As demand for industrial robots surges, new research suggests the rewards are slow to materialise. According to the Cambridge University study, robots typically cause early losses before they can ...
Tech Xplore on MSN
Robotic arm successfully learns 1,000 manipulation tasks in one day
Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...
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