Researchers University of California, Berkeley (UC Berkeley), Université de Montréal and Mila have recently developed a hierarchical reinforcement learning framework to improve the precision of quadrupedal robots in soccer shooting. This framework, introduced in a...
In recent years, roboticists have developed a wide variety of robotic systems with different body structures and capabilities. Most of these robots are either made of hard materials, such as metals, or soft materials, such as silicon and rubbery materials.
In recent years, roboticists have been trying to improve how robots interact with different objects found in real-world settings. While some of their efforts yielded promising results, the manipulation skills of most existing robotic systems still lag behinds those of...
Researchers at RWTH Aachen University in the team of Prof. Sebastian Trimpe and the Max Planck Institute for Intelligent Systems (MPI-IS) Stuttgart have recently developed the Wheelbot a symmetric reaction wheel unicycle that can autonomously jump onto its wheels from...
Soft robots that can complete tasks with high efficiency, accuracy and precision could have numerous valuable applications. For instance, they could be introduced in medical settings, helping doctors to carry out complex surgical procedures or assisting elderly and...
Artificial intelligence (AI) methods have become increasingly advanced over the past few decades, attaining remarkable results in many real-world tasks. Nonetheless, most existing AI systems do not share their analyses and the steps that led to their predictions with...
A widely discussed application of social robots that has so far been rarely tested in real-world settings is their use as bartenders in cafés, cocktail bars and restaurants. While many roboticists have been trying to develop systems that can effectively prepare drinks...
Social robots, robots that can interact with humans and assist them in their daily lives, are gradually being introduced in numerous real-world settings. These robots could be particularly valuable for helping older adults to complete everyday tasks more autonomously,...
Training robots to complete tasks in the real-world can be a very time-consuming process, which involves building a fast and efficient simulator, performing numerous trials on it, and then transferring the behaviors learned during these trials to the real world. In...
Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential...