Robotics
Assistance robots are typically mobile robots designed to assist humans in malls, airports, health care facilities, home environments and various other settings. Among other things, these robots could help users to find their ...
Robotics
As robots make their way into a variety of real-world environments, roboticists are trying to ensure that they can efficiently complete a growing number of tasks. For robots that are designed to assist humans in their homes, ...
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
In recent years, researchers have been developing machine learning algorithms for an increasingly wide range of purposes. This includes algorithms that can be applied in healthcare settings, for instance helping clinicians ...
Computer Sciences
Network science is an academic field that aims to unveil the structure and dynamics behind networks, such as telecommunication, computer, biological and social networks. One of the fundamental problems that network scientists ...
Robotics
Researchers at the Robert Bosch center for cyber physical systems in Bangalore, India, have recently proposed a simulation framework to systematically study the effects of spinal joint actuation on the locomotion performance ...
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
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 ...
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.
Computer Sciences
Researchers who want to realize autonomous swarming drones have studied the collective behavior of flocking birds and swarming insects, but a new study by a group of researchers at ETH Zurich has modeled the schooling behavior ...
