Zobrazeno 1 - 10
of 6 741
pro vyhledávání: '"Tebbe, A."'
We introduce a novel algorithm for controlling linear time invariant systems in a tracking problem. The controller is based on a Gaussian Process (GP) whose realizations satisfy a system of linear ordinary differential equations with constant coeffic
Externí odkaz:
http://arxiv.org/abs/2412.04502
Publikováno v:
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
In the past few years, there has been a growing significance of interactions between human workers and automated systems throughout the factory floor. Wherever static or mobile robots, such as automated guided vehicles, operate autonomously, a protec
Externí odkaz:
http://arxiv.org/abs/2407.15177
Autor:
Kundu, Baisali, Mondal, Priyanka, Tebbe, David, Hassan, Md. Nur, Chakraborty, Suman Kumar, Metzelaars, Marvin, Kögerler, Paul, Karmakar, Debjani, Stampfer, Christoph, Beschoten, Bernd, Waldecker, Lutz, Sahoo, Prasana Kumar
Controlling excitons and their transport in two-dimensional (2D) transition metal dichalcogenides (TMDs) heterostructures is central to advancing photonics and electronics on-chip integration. We investigate the controlled generation and manipulation
Externí odkaz:
http://arxiv.org/abs/2407.13724
Virtual reality (VR) dating introduces novel opportunities for romantic interactions, but it also raises concerns about new harms that typically occur separately in traditional dating apps and general-purpose social VR environments. Given the subject
Externí odkaz:
http://arxiv.org/abs/2405.05914
Spin plays a pivotal role in ball-based sports. Estimating spin becomes a key skill due to its impact on the ball's trajectory and bouncing behavior. Spin cannot be observed directly, making it inherently challenging to estimate. In table tennis, the
Externí odkaz:
http://arxiv.org/abs/2404.09870
Autor:
Ziegler, Andreas, Vetter, Karl, Gossard, Thomas, Tebbe, Jonas, Otte, Sebastian, Zell, Andreas
Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks (NNs). NC is a novel bio-inspired paradigm for energy efficient neural computation, often relying on SNNs in which
Externí odkaz:
http://arxiv.org/abs/2403.10677
Active learning of physical systems must commonly respect practical safety constraints, which restricts the exploration of the design space. Gaussian Processes (GPs) and their calibrated uncertainty estimations are widely used for this purpose. In ma
Externí odkaz:
http://arxiv.org/abs/2402.18260
Autor:
Tebbe, Justin, Tayyub, Jawad
Diffusion models have found valuable applications in anomaly detection by capturing the nominal data distribution and identifying anomalies via reconstruction. Despite their merits, they struggle to localize anomalies of varying scales, especially la
Externí odkaz:
http://arxiv.org/abs/2401.04463
Autor:
Tebbe, David, Schütte, Marc, Watanabe, K., Taniguchi, T., Stampfer, Christoph, Beschoten, Bernd, Waldecker, Lutz
Publikováno v:
Phys. Rev. Lett. 132, 196902 (2024)
We report on the mechanism of energy transfer in van der Waals heterostructures of the two-dimensional semiconductor WS$_2$ and graphene with varying interlayer distances, achieved through spacer layers of hexagonal boron nitride (hBN). We record pho
Externí odkaz:
http://arxiv.org/abs/2401.02716
In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an improved table tennis robot system with high accuracy vision detection and fast robot reaction. Based on previous work
Externí odkaz:
http://arxiv.org/abs/2310.19062