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pro vyhledávání: '"Bennewitz"'
Reinforcement learning (RL) has been successfully applied to a variety of robotics applications, where it outperforms classical methods. However, the safety aspect of RL and the transfer to the real world remain an open challenge. A prominent field f
Externí odkaz:
http://arxiv.org/abs/2412.04153
Autor:
Surace, Federica Maria, Lerose, Alessio, Katz, Or, Bennewitz, Elizabeth R., Schuckert, Alexander, Luo, De, De, Arinjoy, Ware, Brayden, Morong, William, Collins, Kate, Monroe, Christopher, Davoudi, Zohreh, Gorshkov, Alexey V.
Confinement prohibits isolation of color charges, e.g., quarks, in nature via a process called string breaking: the separation of two charges results in an increase in the energy of a color flux, visualized as a string, connecting those charges. Even
Externí odkaz:
http://arxiv.org/abs/2411.10652
Autor:
De, Arinjoy, Lerose, Alessio, Luo, De, Surace, Federica M., Schuckert, Alexander, Bennewitz, Elizabeth R., Ware, Brayden, Morong, William, Collins, Kate S., Davoudi, Zohreh, Gorshkov, Alexey V., Katz, Or, Monroe, Christopher
Spontaneous particle-pair formation is a fundamental phenomenon in nature. It can, for example, appear when the potential energy between two particles increases with separation, as if they were connected by a tense string. Beyond a critical separatio
Externí odkaz:
http://arxiv.org/abs/2410.13815
Fruit monitoring plays an important role in crop management, and rising global fruit consumption combined with labor shortages necessitates automated monitoring with robots. However, occlusions from plant foliage often hinder accurate shape and pose
Externí odkaz:
http://arxiv.org/abs/2409.17389
Autor:
Shokry, Ahmed, Gomaa, Walid, Zaenker, Tobias, Dawood, Murad, Maged, Shady A., Awad, Mohammed I., Bennewitz, Maren
Peg-in-hole assembly in unknown environments is a challenging task due to onboard sensor errors, which result in uncertainty and variations in task parameters such as the hole position and orientation. Meta Reinforcement Learning (Meta RL) has been p
Externí odkaz:
http://arxiv.org/abs/2409.16208
The presence of robots amongst pedestrians affects them causing deviation to their trajectories. Existing methods suffer from the limitation of not being able to objectively measure this deviation in unseen cases. In order to solve this issue, we int
Externí odkaz:
http://arxiv.org/abs/2409.14844
Accurate inertial parameter identification is crucial for the simulation and control of robots encountering intermittent contact with the environment. Classically, robots' inertial parameters are obtained from CAD models that are not precise (and som
Externí odkaz:
http://arxiv.org/abs/2409.09850
Autor:
Kreis, Benedikt, Dengler, Nils, de Heuvel, Jorge, Menon, Rohit, Perur, Hamsa, Bennewitz, Maren
Close and precise placement of irregularly shaped objects requires a skilled robotic system. The manipulation of objects that have sensitive top surfaces and a fixed set of neighbors is particularly challenging. To avoid damaging the surface, the rob
Externí odkaz:
http://arxiv.org/abs/2404.10632
Mobile robots are increasingly being used in noisy environments for social purposes, e.g. to provide support in healthcare or public spaces. Since these robots also operate beyond human sight, the question arises as to how different robot types, ambi
Externí odkaz:
http://arxiv.org/abs/2404.06807
Neuromorphic computing mimics computational principles of the brain in $\textit{silico}$ and motivates research into event-based vision and spiking neural networks (SNNs). Event cameras (ECs) exclusively capture local intensity changes and offer supe
Externí odkaz:
http://arxiv.org/abs/2404.05858