Tootfinder

Achieving Optimal Locomotion using Self-Generated Waves
D. O'Donovan, M. D. Bustamante, O. Devauchelle, G. P. Benham
https://arxiv.org/abs/2506.11961 h…

Achieving Optimal Locomotion using Self-Generated Waves
An oscillating body floating at the water surface produces a wave-field of self-generated waves. When the oscillation induces a difference in fore-aft wave amplitude squared, these self-generated waves can be used as a mechanism to propel the body horizontally across the surface (Longuet-Higgins and Stewart 1964). The optimisation of this wave-driven propulsion (WDP) is the interest of this work. To study the conditions necessary to produce optimal thrust we will utilise a shallow water set-up …

R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing
Maurice Brunner, Edoardo Ghignone, Nicolas Baumann, Michele Magno
https://arxiv.org/abs/2506.09629

R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing
Autonomous racing has emerged as a crucial testbed for autonomous driving algorithms, necessitating a simulation environment for both vehicle dynamics and sensor behavior. Striking the right balance between vehicle dynamics and sensor accuracy is crucial for pushing vehicles to their performance limits. However, autonomous racing developers often face a trade-off between accurate vehicle dynamics and high-fidelity sensor simulations. This paper introduces R-CARLA, an enhancement of the CARLA si…

Surface Induced Frustration of Inherent Dipolar Order in Nanoconfined Water
Sayantan Mondal, Saumyak Mukherjee, Biman Bagchi
https://arxiv.org/abs/2506.09809

Surface Induced Frustration of Inherent Dipolar Order in Nanoconfined Water
Surface effects could play a dominant role in modifying the natural liquid order. In some cases, the effects of the surface interactions can propagate inwards, and even can interfere with a similar propagation from opposite surfaces. This can be particularly evident in liquid water under nano-confinement. The large dipolar cross-correlations among distinct molecules that give rise to the unusually large dielectric constant of water (and in turn owe their origin to the extended hydrogen bond (HB…

#ndwgoecountdown Meteoriten – Boten aus dem All
Immer wieder bahnen sich Gesteinsbrocken aus dem Weltall ihren Weg auf die Erde. Meteoriten sind interessant für Forschende. Denn die Brocken sind Zeitzeugen der Entstehung des Sonnensystems. Ihre genaue Zusammensetzung kann helfen zu verstehen, wie das Sonnensystem zu dem Ort wurde, den wir heute kennen. Mit echten Meteoriten zu…

We Are AI: Taking Control of Technology
Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
https://arxiv.org/abs/2506.08117

We Are AI: Taking Control of Technology
Responsible AI (RAI) is the science and practice of ensuring the design, development, use, and oversight of AI are socially sustainable--benefiting diverse stakeholders while controlling the risks. Achieving this goal requires active engagement and participation from the broader public. This paper introduces "We are AI: Taking Control of Technology," a public education course that brings the topics of AI and RAI to the general audience in a peer-learning setting. We outline the goals behind t…

Characterizations for arbitrary B\'ekoll\'e-Bonami weights
Carlos Mudarra, Karl-Mikael Perfekt
https://arxiv.org/abs/2506.05993 https://

Characterizations for arbitrary Békollé-Bonami weights
We precisely characterize the relationships between the reverse Hölder inequality, the Fujii-Wilson condition, the Békollé-Bonami $\mathrm{B}_p$ condition, the $\mathrm{B}_\infty$ condition, and the reverse Jensen inequality, for arbitrary weights in the unit disc. This is achieved by introducing new side conditions that turn out to be necessary and sufficient. The side conditions are simple and testable, and can be interpreted as integral versions of the much stronger condition of bounded h…

Eye, Robot: Learning to Look to Act with a BC-RL Perception-Action Loop
Justin Kerr, Kush Hari, Ethan Weber, Chung Min Kim, Brent Yi, Tyler Bonnen, Ken Goldberg, Angjoo Kanazawa
https://arxiv.org/abs/2506.10968

Eye, Robot: Learning to Look to Act with a BC-RL Perception-Action Loop
Humans do not passively observe the visual world -- we actively look in order to act. Motivated by this principle, we introduce EyeRobot, a robotic system with gaze behavior that emerges from the need to complete real-world tasks. We develop a mechanical eyeball that can freely rotate to observe its surroundings and train a gaze policy to control it using reinforcement learning. We accomplish this by first collecting teleoperated demonstrations paired with a 360 camera. This data is imported in…

Smile asymptotic for Bachelier Implied Volatility
Roberto Baviera, Michele Domenico Massaria
https://arxiv.org/abs/2506.08067 https://

Smile asymptotic for Bachelier Implied Volatility
We investigate the asymptotic behaviour of the Implied Volatility in the Bachelier setting, extending the framework introduced by Benaim and Friz for the Black-Scholes setting. Exploiting the theory of regular variation, we derive explicit expressions for the Bachelier Implied Volatility in the wings of the smile, linking these to the tail behaviour of the underlying's returns' distribution. Furthermore, we establish a direct connection between the analyticity strip of the returns' characterist…

The ILD Detector: A Versatile Detector for an Electron-Positron Collider at Energies up to 1 TeV
H. Abramowicz, D. Ahmadi, J. Alcaraz, O. Alonso, L. Andricek, J. Anguiano, O. Arquero, F. Arteche, D. Attie, O. Bach, M. Basso, J. Baudot, A. Bean, T. Behnke, A. Bellerive, Y. Benhammou, M. Berggren, G. Bertolone, M. Besancon, A. Besson, O. Bezshyyko, G. Blazey, B. Bliewert, J. Bonis, R. Bosley, V. Boudry, C. Bourgeois, I. Bozovic Jelisavcic, D. Breton, J. -C. Brient, B. Brudnowski, V. Bues…

The ILD Detector: A Versatile Detector for an Electron-Positron Collider at Energies up to 1 TeV
The International Large Detector, ILD, is a detector concept for an experiment at a future high energy lepton collider. The detector has been optimised for precision physics in a range of energies from 90~GeV to about 1~TeV. ILD features a high precision, large volume combined silicon and gaseous tracking system, together with a high granularity calorimeter, all inside a central solenoidal magnetic field. The paradigm of particle flow has been the guiding principle of the design of ILD. ILD is …

DiG-Net: Enhancing Quality of Life through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics
Eran Bamani Beeri, Eden Nissinman, Avishai Sintov
https://arxiv.org/abs/2505.24786

DiG-Net: Enhancing Quality of Life through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics
Dynamic hand gestures play a pivotal role in assistive human-robot interaction (HRI), facilitating intuitive, non-verbal communication, particularly for individuals with mobility constraints or those operating robots remotely. Current gesture recognition methods are mostly limited to short-range interactions, reducing their utility in scenarios demanding robust assistive communication from afar. In this paper, we introduce a novel approach designed specifically for assistive robotics, enabling …