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20 results for “Understanding of maritime robotics and simulation concepts”

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cs.MAcs.ROEmpiricalRecentJul 3, 2026

LOTUSim: Multi-Domain Simulator for Marine Robotics

Cédric Buche, Juliette Grosset, Hélène Lechêne, Marie Dubromel +3 more

LOTUSim is an open-source, real-time maritime simulator supporting multi-user interaction for coordinated naval-style operations, featuring real-time interactive performance, scalability, and an Ekman…

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cs.ROcs.DCcs.NISurveyComprehensiveRecentJul 1, 2026

The Three Dimensions of ROS 2 Middleware

Sanghoon Lee, Taehun Kim, Angelo Corsaro, Kyung-Joon Park

This paper provides a systematic survey of ROS 2 middleware and identifies architectural limits through three dimensions: Space, Time, and State.

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cs.ROEmpiricalRecentJul 24, 2026

Plug, Play, and Comply: A Modular Framework for Online Variable Impedance with Arbitrarily Oriented Compliance Axes

Mihael Simonič, Xiaocong Li

This paper presents a robot-agnostic compliant-control framework with standardized interfaces for ROS control ecosystem, enabling reusable infrastructure for various manipulators and diverse compliant…

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cs.ROcs.AIcs.NERecentJun 4, 2026

Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning

Yuanzhi He, Victor Romero-Cano, José J. Patiño, Juan David Hernández +2 more

The paper proposes an iCEM+TL framework that combines the Sample-efficient Cross-Entropy Method with Transfer Learning and Reward Redesign to improve robotic motion planning for complex tasks like sta…

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cs.ROcs.MAeess.SYEmpiricalRecentJul 16, 2026

Modeling and Validation of Quality of Control for Edge-Offloaded Collaborative Navigation

Neelabhro Roy, Mikael Hammarling, Victor Nan Fernandez-Ayala, Gourav Prateek Sharma +3 more

This paper expands the Quality of Control (QoC) framework to address network-induced uncertainties in collaborative robotics, validating the models through experiments on a private 5G testbed.

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cs.ROEmpiricalRecentJul 1, 2026

FastBridge: Closing the Model-Based Realization Gap in Safety Filters on 3D Gaussian Splatting for Fast Quadrotor Flight

Tscholl Dario, Nakka Yashwanth Kumar, Gunter Brian

This paper introduces a nonlinear, actuator-aware safety filter for 3D Gaussian Splatting (3DGS) based on full quadrotor dynamics, reducing trajectory jerk by 47% and running 2.25 times faster than ex…

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cs.NIcs.AIRecentMay 28, 2026

Network Optimization Aspects of Autonomous Vehicles: Challenges and Future Directions

Rudolf Krecht, Tamas Budai, Erno Horvath, Akos Kovacs +2 more

This paper provides a comprehensive review of network optimization aspects for Connected and Autonomous Vehicles (CAVs), aiming to clarify misconceptions and outline future research directions.

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cs.ROEmpiricalRecentJul 17, 2026

A New Implementation of NeoSLAM and a Comparative Evaluation with RatSLAM

Joao Victor T. Borges, Fabio Coelho, Paulo Padrao, Jose Fuentes +3 more

This paper presents a new modular architecture for NeoSLAM using modern frameworks, achieving real-time execution and minimal data discarding. It also compares NeoSLAM and RatSLAM across three dataset…

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cs.ROcs.AIRecentMay 29, 2026

DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties

Oussama Zaim, Mélodie Daniel, Aly Magassouba, Miguel Aranda +1 more

The paper proposes a robust sim-to-sim-to-real DRL approach to enable double-Ackermann robots to achieve full pose control despite significant actuation uncertainties and discrepancies between simulat…

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cs.RORecentJun 3, 2026

Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation

Luca Zanatta, Grzegorz Malczyk, Kostas Alexis

This paper investigates the robustness of world models in vision-based quadrotor navigation and identifies factors governing their quality.

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cs.SEcs.AIcs.ETEmpiricalRecentJun 12, 2026

I'm Sorry Driver, I'm Afraid I Can't Do That: Appraising the Safety of LLMs within Automotive Contexts

Shaun Feakins, Ibrahim Habli, Kim Littler, Robert Palin

This paper evaluates the integration of Language Model Machines (LLMs) into control tasks in automotive contexts from a safety assurance perspective, identifying conceptual and concrete challenges.

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cs.NIcs.AIEmpiricalRecentJul 1, 2026

Fully Unsupervised Detection of Physical Contacts on Subsea Cables via State-of-Polarization Monitoring

Agastya Raj, Alvaro Doval, Tian Tian, Steinar Bjørnstad +1 more

A fully unsupervised Fast-Slow DSVDD detector is presented for continuous State-of-Polarization monitoring on subsea cables, identifying five confirmed trawler contacts and additional corroborated eve…

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cs.ROcs.AIcs.LGRecentMay 27, 2026

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation

Jiahe Pan, Stelian Coros, Jitendra Malik, Toru Lin

The paper introduces Center-of-Pressure (CoP), a physics-grounded tactile representation that enables robust zero-shot sim-to-real transfer for complex, contact-rich manipulation tasks.

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cs.CRcs.AIcs.RORecentApr 29, 2026

From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems

Neha Nagaraja, Hayretdin Bahsi, Carlo R. da Cunha

The paper provides a holistic threat model for LLM-enabled robotic systems by analyzing how conventional, adversarial, and conversational threats propagate across the entire perception-planning-actuat…

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cs.ROcs.LGcs.MAEmpiricalRecentJul 10, 2026

Runtime Safety Filtering for Learned Small UAS Separation Policies under GNSS Degradation

Alex Zongo, Peng Wei

This paper evaluates two approaches for maintaining safe separation between small Unmanned Aircraft Systems (sUAS) in urban environments with degraded Global Navigation Satellite System (GNSS) signals…

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