In recent years, many research teams have been trying to design artificial skins with electronic properties for humanoid robots, smart prosthetics and other bio-inspired systems. These skins could sense the textures and tactile properties of objects, allowing various...
The wing dynamics of flying animal species have been the inspiration for numerous flying robotic systems. While birds and bats typically flap their wings using the force produced by their pectoral and wing muscles, the processes underlying the wing movements of many...
To be deployed in a broad range of real-world dynamic settings, robots should be able to successfully complete various manual tasks, ranging from household chores to complex manufacturing or agricultural processes. These manual tasks entail grasping, manipulating and...
Most robotic systems developed to date can either tackle a specific task with high precision or complete a range of simpler tasks with low precision. For instance, some industrial robots can complete specific manufacturing tasks very well but cannot easily adapt to...
To be successfully deployed in real-world settings, robots should be capable of reliably completing various everyday tasks, ranging from household chores to industrial processes. Some of the tasks they could complete entail manipulating fabrics, for instance when...
Imitation learning is a promising method to teach robots how to reliably complete everyday tasks, such as washing dishes or cooking. Despite their potential, imitation learning frameworks rely on detailed human demonstrations, which should include data that can help...
Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged)...
Robots that can navigate various terrains both rapidly and efficiently could be highly advantageous, as they could successfully complete complex missions in challenging environments. For instance, these robots could help to monitor complex natural environments, such...
To successfully complete missions in dynamic and unstructured real-world environments, mobile robots should be able to adapt their actions in real-time to avoid collisions with nearby objects, people or animals.
The performance of artificial intelligence (AI) tools, including large computational models for natural language processing (NLP) and computer vision algorithms, has been rapidly improving over the past decades. One reason for this is that datasets to train these...