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Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on distributed optimization applied to multi-robot…

Robotics · Computer Science 2024-12-02 Ola Shorinwa , Trevor Halsted , Javier Yu , Mac Schwager

How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a novel black-box policy search algorithm focused on…

Robotics · Computer Science 2025-02-11 Shiming He , Alexander von Rohr , Dominik Baumann , Ji Xiang , Sebastian Trimpe

We present OrbiSim, a novel robotic simulation paradigm that redefines world models as a fully differentiable physics engine for embodied intelligence. Unlike prior world models that focus on unconstrained imagination in latent or visual…

Robotics · Computer Science 2026-05-19 Jiajian Li , Jingyuan Huang , Junru Gong , Qi Wang , Xiaokang Yang , Yunbo Wang

As connected autonomous vehicles (CAVs) become increasingly prevalent, there is a growing need for simulation platforms that can accurately evaluate CAV behavior in large-scale environments. In this paper, we propose Flowsim, a novel…

Networking and Internet Architecture · Computer Science 2023-06-12 Ye Tao , Ehsan Javanmardi , Jin Nakazato , Manabu Tsukada , Hiroshi Esaki

Validation of robotics theory on real-world hardware platforms is important to prove the practical feasibility of algorithms. This paper discusses some of the lessons learned while adapting the EvoBot, a low-cost robotics platform that we…

This paper presents a prototyping framework for distributed control of multi-robot systems, aimed at bridging theory and practical testing of distributed optimization algorithms. Using the Single Program, Multiple Data (SPMD) paradigm, the…

In this article we introduce the concept and the first implementation of a lightweight client-server-framework as middleware for distributed computing. On the client side an installation without administrative rights or privileged ports can…

Software Engineering · Computer Science 2009-12-04 R. -M. Vetter , W. Lennartz , J. -V. Peetz

DynamicGEM is an open-source Python library for learning node representations of dynamic graphs. It consists of state-of-the-art algorithms for defining embeddings of nodes whose connections evolve over time. The library also contains the…

Machine Learning · Computer Science 2018-11-28 Palash Goyal , Sujit Rokka Chhetri , Ninareh Mehrabi , Emilio Ferrara , Arquimedes Canedo

Autonomous robots in endovascular operations have the potential to navigate circulatory systems safely and reliably while decreasing the susceptibility to human errors. However, there are numerous challenges involved with the process of…

Voxel-based soft robots (VSRs) are aggregations of soft blocks whose design is amenable to optimization. We here present a software, 2D-VSR-Sim, for facilitating research concerning the optimization of VSRs body and brain. The software,…

Robotics · Computer Science 2020-01-28 Eric Medvet , Alberto Bartoli , Andrea De Lorenzo , Stefano Seriani

We present a graphical simulation tool for visually and interactively exploring the processing of various events handled by an operating system when running a program. Our graphical simulator is available for use on the web and locally by…

Other Computer Science · Computer Science 2019-11-12 Joshua W. Buck , Saverio Perugini

We present ffsim, an open-source software library for fast simulation of fermionic quantum circuits. ffsim exploits conservation of particle number and the z component of spin, symmetries present in a wide range of fermionic systems, to…

Building a distributed spatial awareness within a swarm of locally sensing and communicating robots enables new swarm algorithms. We use local observations by robots of each other and Gaussian Belief Propagation message passing combined…

Robotics · Computer Science 2024-11-12 Simon Jones , Sabine Hauert

Multi-agent systems play an important role in modern robotics. Due to the nature of these systems, coordination among agents via communication is frequently necessary. Indeed, Perception-Action-Communication (PAC) loops, or…

Processing data collected by a network of agents often boils down to solving an optimization problem. The distributed nature of these problems calls for methods that are, themselves, distributed. While most collaborative learning problems…

Machine Learning · Computer Science 2018-08-29 Inês Almeida , João Xavier

Discrete event simulators, such as OMNeT++, provide fast and convenient methods for the assessment of algorithms and protocols, especially in the context of wired and wireless networks. Usually, simulation parameters such as topology and…

Software Engineering · Computer Science 2017-09-12 Maximilian Köstler , Florian Kauer

jNO (jax Neural Operators) is a JAX-native library for neural operators and foundation models with unified support for both data-driven and physics-informed training. Its core design is a tracing system in which domains, model calls,…

Machine Learning · Computer Science 2026-05-12 Leon Armbruster , Rathan Ramesh , Georg Kruse , Christopher Straub

The paper discusses the basic principles and the architecture of the software toolkit for constructing knowledge-based systems which can be used cooperatively over computer networks and also embedded into larger software systems in…

Artificial Intelligence · Computer Science 2007-05-23 Dmitri Soshnikov

We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software containers described in a rich and flexible JSON language. A…

User simulation is a valuable methodology for evaluation in Information Retrieval (IR), enabling low-cost experimentation and counterfactual analysis. However, existing simulation frameworks are primarily code-centric libraries that require…

Information Retrieval · Computer Science 2026-04-28 Saber Zerhoudi , Adam Roegiest , Michael Granitzer
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