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The technological advances of the past years have impressively demonstrated that the digital age is no longer just a science fiction vision of the future - we are in the midst of it. The digital transformation is affecting many areas of our lives, includin ...
Deciphering how quadrupeds coordinate their legs and other body parts, such as the trunk, head, and tail (i.e., body-limb coordination), can provide informative insights to improve legged robot mobility. In this study, we focused on sprawling locomotion of ...
Integrated wearable electronics capable of providing biophysical information on complex and dynamic systems have attracted high interest in diverse fields such as healthcare, gaming and robotics. Wearable sensors can create artificial, electronic skins wit ...
Over the past years, the field of small unmanned aerial vehicles has grown significantly and several applications have appeared, requiring always more autonomous flight. An important remaining challenge for fully autonomous unmanned aerial vehicles is coll ...
Legged robots pose one of the greatest challenges in robotics. Dynamic and agile maneuvers of animals cannot be imitated by existing methods that are crafted by humans. A compelling alternative is reinforcement learning, which requires minimal craftsmanshi ...
This paper presents a system that aims to achieve autonomous grasping for micro-controller based humanoid robots such as the Inmoov robot [1]. The system consists of a visual sensor, a central controller and a manipulator. We modify the open sourced object ...
This thesis contributes to the field of Dielectric Elastomer Actuators (DEAs). DEAs are electrostatically driven soft actuators that are fast, capable of generating large actuation strains, high forces, and present high power density. A wide range of appli ...
Humans have a remarkable way of learning, adapting and mastering new manipulation
tasks. With the current advances in Machine Learning (ML), the promise of having
robots with such capabilities seems to be on the cusp of reality. Transferring human-level
sk ...
Soft robotic systems are composed of active and passively deformable structures which are intrinsically compliant, flexible, and elastic. Although these features offer benefits of adaptability, robustness, and safety, controlling these types of robots is a ...
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in which robots acquire new skills by learning to imitate an expert. The choice of LfD over other robot learning methods is compelling when ideal behavior can be n ...