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The second generation of Robotic Operating System, ROS 2, has gained much attention for its potential to be used for safety-critical robotic applications. The need to provide a solid foundation for timing correctness and scheduling…

Systems and Control · Electrical Eng. & Systems 2024-12-31 Hoora Sobhani , Hyunjong Choi , Hyoseung Kim

We describe a software framework and a hardware platform used in tandem for the design and analysis of robot autonomy algorithms in simulation and reality. The software, which is open source, containerized, and operating system (OS)…

Recent progress in robotics has underscored the demand for real-time control in applications such as manufacturing, healthcare, and autonomous systems, where the timely delivery of mission-critical commands under heterogeneous robotic…

Robotics · Computer Science 2025-09-30 Shiqi Xu , Lihao Zhang , Yuyang Du , Qun Yang , Soung Chang Liew

The advancements of remote sensing (RS) pose increasingly high demands on computation and transmission resources. Conventional ground-offloading techniques, which transmit large amounts of raw data to the ground, suffer from poor…

Networking and Internet Architecture · Computer Science 2022-11-17 Jiaqi Cao , Shengli Zhang , Qingxia Chen , Houtian Wang , Mingzhe Wang , Naijin Liu

Robotic systems are more connected, networked, and distributed than ever. New architectures that comply with the \textit{de facto} robotics middleware standard, ROS\,2, have recently emerged to fill the gap in terms of hybrid systems…

Systems built on the Robot Operating System (ROS) are increasingly easy to assemble, yet hard to govern and reliably coordinate. Beyond the sheer number of subsystems involved, the difficulty stems from their diversity and interaction…

Downlink coherent multiuser transmission is an essential technique for cell-free massive multiple-input multiple output (MIMO) systems, and the availability of channel state information (CSI) at the transmitter is a basic requirement. To…

Nowadays, realistic simulation environments are essential to validate and build reliable robotic solutions. This is particularly true when using Reinforcement Learning (RL) based control policies. To this end, both robotics and RL…

Robotics · Computer Science 2023-10-12 Matteo El-Hariry , Antoine Richard , Miguel Olivares-Mendez

Nowadays, the use of embedded operating systems in different embedded projects is subject to a tremendous growth. Embedded Linux is becoming one of those most popular EOSs due to its modularity, efficiency, reliability, and cost. One way to…

Operating Systems · Computer Science 2013-12-17 Pierre Olivier , Jalil Boukhobza

In this paper, we present a user-friendly planetary rover's control system for low latency surface telerobotic. Thanks to the proposed system, an operator can comfortably give commands through the control base station to a rover using…

In this paper a modular and scalable architecture for heterogeneous swarm-based Counter Unmanned Aerial Systems (C-UASs) built on PX4-Autopilot and Robot Operating System 2 (ROS 2) framework is presented. The proposed architecture…

Robotics · Computer Science 2025-11-03 Robert Pommeranz , Kevin Tebbe , Ralf Heynicke , Gerd Scholl

Autonomous and Robotics Systems (ARSs) are widespread, complex, and increasingly coming into contact with the public. Many of these systems are safety-critical, and it is vital to detect software errors to protect against harm. We propose a…

Software Engineering · Computer Science 2022-02-01 Deborah S. Katz , Christopher S. Timperley , Claire Le Goues

High performance computing systems have historically been designed to support applications comprised of mostly monolithic, single-job workloads. Pilot systems decouple workload specification, resource selection, and task execution via job…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-31 Andre Merzky , Matteo Turilli , Manuel Maldonado , Mark Santcroos , Shantenu Jha

As the number of spacecraft on orbit continues to grow, it is challenging for human operators to constantly monitor and plan for all missions. Autonomous control methods such as reinforcement learning (RL) have the power to solve complex…

Systems and Control · Electrical Eng. & Systems 2024-05-14 Kyle Dunlap , Nathaniel Hamilton , Francisco Viramontes , Derrek Landauer , Evan Kain , Kerianne L. Hobbs

This paper presents a simulation testbed developed for testing and demonstration of decentralized control algorithms designed for multi-agent systems. Aimed at bridging a gap between theory and practical deployment of such algorithms, this…

Systems and Control · Electrical Eng. & Systems 2022-12-27 Arvind Pandit , Akash Njattuvetty , Ameer K. Mulla

This tool paper presents the High-Assurance ROS (HAROS) framework. HAROS is a framework for the analysis and quality improvement of robotics software developed using the popular Robot Operating System (ROS). It builds on a static analysis…

Software Engineering · Computer Science 2021-03-03 André Santos , Alcino Cunha , Nuno Macedo

Asynchronous frameworks for distributed embedded systems, like ROS and MQTT, are increasingly used in safety-critical applications such as autonomous driving, where the cost of unintended behavior is high. The coordination mechanism between…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-21 Soroush Bateni , Marten Lohstroh , Hou Seng Wong , Rohan Tabish , Hokeun Kim , Shaokai Lin , Christian Menard , Cong Liu , Edward A. Lee

The Robot Operating System (ROS2) is the most widely used software platform for building robotics applications. FogROS2 extends ROS2 to allow robots to access cloud computing on demand. However, ROS2 and FogROS2 assume that all robots are…

Task-based execution frameworks, such as parallel programming libraries, computational workflow systems, and function-as-a-service platforms, enable the composition of distinct tasks into a single, unified application designed to achieve a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-15 J. Gregory Pauloski , Valerie Hayot-Sasson , Maxime Gonthier , Nathaniel Hudson , Haochen Pan , Sicheng Zhou , Ian Foster , Kyle Chard

Autonomous robots need to plan the tasks they carry out to fulfill their missions. The missions' increasing complexity does not let human designers anticipate all the possible situations, so traditional control systems based on state…

Robotics · Computer Science 2021-07-02 Francisco Martín , Jonatan Ginés , Vicente Matellán , Francisco J. Rodríguez
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