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This is a short note to announce the availability of some movies that may be useful in classroom discussions on the photographic appearance of objects moving at relativistic speeds. The images are based on special relativity with no account…

Physics Education · Physics 2007-05-23 Leo Brewin

Physics-based reinforcement learning tasks can benefit from simplified physics simulators as they potentially allow near-optimal policies to be learned in simulation. However, such simulators require the latent factors (e.g. mass, friction…

Machine Learning · Computer Science 2022-02-14 Buddhika Laknath Semage , Thommen George Karimpanal , Santu Rana , Svetha Venkatesh

Newton's Theorem of Revolving Orbits derives the force that is necessary to explain a particular precession that leaves the shape of an orbit unchanged. Newton showed that for an orbiting body that is already subject to any central force,…

Classical Physics · Physics 2024-05-06 Nolan Samboy , Joseph Gallant

This paper addresses the challenge of active perception within autonomous navigation in complex, unknown environments. Revisiting the foundational principles of active perception, we introduce an end-to-end reinforcement learning framework…

Robotics · Computer Science 2026-02-03 Grzegorz Malczyk , Mihir Kulkarni , Kostas Alexis

This paper studies the complexity of classical modal logics and of their extension with fixed-point operators, using translations to transfer results across logics. In particular, we show several complexity results for multi-agent logics…

Logic in Computer Science · Computer Science 2022-09-22 Luca Aceto , Antonis Achilleos , Elli Anastasiadi , Adrian Francalanza , Anna Ingolfsdottir

Intractable phase dynamics often challenge our understanding of complex oscillatory systems, hindering the exploration of synchronisation, chaos, and emergent phenomena across diverse fields. We introduce a novel conceptual framework for…

Chaotic Dynamics · Physics 2024-07-02 Marco Thiel

Fast catching of free-flying objects is difficult because of short reaction time, impact uncertainty, and kinodynamic constraints. We use reinforcement learning in simulation to collect successful catching trajectories and learn a…

Robotics · Computer Science 2026-05-28 Guorui Pei , Mengshi Zhang , Xi Chen , Jinsong Wu , Jiaming Qi , Peng Zhou

We provide an example of how the complex dynamics of a recently introduced model can be understood via a detailed analysis of its associated Riemann surface. Thanks to this geometric description an explicit formula for the period of the…

Chaotic Dynamics · Physics 2015-03-19 David Gomez-Ullate , Paolo Santini , Matteo Sommacal , Francesco Calogero

Constraints imposed directly on accelerations of the system leading to the relation of constants of motion with appropriate local projectors occurring in the derived equations are considered. In this way a generalization of the Noether's…

General Physics · Physics 2014-06-03 Jerzy Hanckowiak

Relativistic equation of state and velocity comparable with the speed of light are included in consideration of a superfluid rotating in a cylindrical container. Minimizing the free energy, we derive the equation of motion. It admits an…

High Energy Physics - Phenomenology · Physics 2007-05-23 G. Vlasov

The analysis of the dynamics of radial movement in different reference frames used in cosmology is made. Use of different frames leads to the difference in inertial forces resulting in different observable effects. The important effect is…

General Relativity and Quantum Cosmology · Physics 2021-05-05 A. A. Grib , Yu. V. Pavlov

The tools developed in a preceding article for interpreting spacetime geometry in terms of all possible space-plus-time splitting approaches are applied to circular orbits in some familiar stationary axisymmetric spacetimes. This helps give…

General Relativity and Quantum Cosmology · Physics 2011-07-19 Donato Bini , Paolo Carini , Robert T Jantzen

Recent work in reinforcement learning has leveraged symmetries in the model to improve sample efficiency in training a policy. A commonly used simplifying assumption is that the dynamics and reward both exhibit the same symmetry; however,…

Machine Learning · Computer Science 2024-08-20 Yasin Sonmez , Neelay Junnarkar , Murat Arcak

We provide a complete structure theorem for involutory matrices. This yields a new approach to principal angles between subspaces and provide a series of nice formulae for these angles.

Functional Analysis · Mathematics 2026-02-24 Jean-Christophe Bourin , Eun-Young Lee

Abduction is a fundamental and important form of non-monotonic reasoning. Given a knowledge base explaining how the world behaves it aims at finding an explanation for some observed manifestation. In this paper we focus on propositional…

Computational Complexity · Computer Science 2010-06-29 Nadia Creignou , Johannes Schmidt , Michael Thomas

As a promising branch of robotics, imitation learning emerges as an important way to transfer human skills to robots, where human demonstrations represented in Cartesian or joint spaces are utilized to estimate task/skill models that can be…

Robotics · Computer Science 2023-09-27 Yanlong Huang , Fares J. Abu-Dakka , João Silvério , Darwin G. Caldwell

Deformable objects manipulation can benefit from representations that seamlessly integrate vision and touch while handling occlusions. In this work, we present a novel approach for, and real-world demonstration of, multimodal visuo-tactile…

Robotics · Computer Science 2022-10-10 Youngsun Wi , Andy Zeng , Pete Florence , Nima Fazeli

Exterior calculus and moving frames are used to describe curved elastic shells. The kinematics follow from the Lie-derivative on forms whereas the dynamics via stress-forms.

Mathematical Physics · Physics 2015-06-26 Niels Sondergaard

A new approach is developed to integrate numerically the equations of motion for systems of interacting rigid polyatomic molecules. With the aid of a leapfrog framework, we directly involve principal angular velocities into the integration,…

Computational Physics · Physics 2007-05-23 Igor P. Omelyan

Life mechanics, an emerging field, focuses on the self-organizing forces and motions within living systems. This study introduces the novel concept of active force, generated by mind-body interactions, as an essential element in…

Biological Physics · Physics 2023-09-21 Rong Li , Weicheng Cui
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