Distributed robotic systems in the edge-cloud continuum with ros 2: A review on novel architectures and technology readiness
Robotic systems are more connected, networked, and distributed than ever. New
architectures that comply with the de facto robotics middleware standard, ROS 2, have …
architectures that comply with the de facto robotics middleware standard, ROS 2, have …
Robotcore: An open architecture for hardware acceleration in ros 2
V Mayoral-Vilches, SM Neuman… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Hardware acceleration can revolutionize robotics, enabling new applications by speeding
up robot response times while remaining power-efficient. However, the diversity of …
up robot response times while remaining power-efficient. However, the diversity of …
Robotperf: An open-source, vendor-agnostic, benchmarking suite for evaluating robotics computing system performance
We introduce RobotPerf, a vendor-agnostic bench-marking suite designed to evaluate
robotics computing performance across a diverse range of hardware platforms using ROS 2 …
robotics computing performance across a diverse range of hardware platforms using ROS 2 …
Model-based approach for automatic generation of hardware architectures for robotics
Increasingly complex robotic platforms incorporate heterogeneous sensors and actuators.
They are usually coupled with embedded computers but relying on software solutions not …
They are usually coupled with embedded computers but relying on software solutions not …
MPSoC4Drones: An open framework for ROS2, PX4, and FPGA integration
Autonomous drones are facing a tough efficiency challenge due to limitations on the utilized
processing hardware units. Among these limitations is the tradeoff between fast computing …
processing hardware units. Among these limitations is the tradeoff between fast computing …
Adaptive computing in robotics, leveraging ros 2 to enable software-defined hardware for fpgas
V Mayoral-Vilches, G Corradi - arXiv preprint arXiv:2109.03276, 2021 - arxiv.org
Traditional software development in robotics is about programming functionality in the CPU
of a given robot with a pre-defined architecture and constraints. With adaptive computing …
of a given robot with a pre-defined architecture and constraints. With adaptive computing …
A Survey on Adaptive Computing in Robotics: Modelling, Methods and Applications
A Podlubne, D Göhringer - IEEE Access, 2023 - ieeexplore.ieee.org
Modern robots are complex heterogeneous systems composed of different Processing
Elements (PEs) with multiple sensors and actuators. This implies that different experts are …
Elements (PEs) with multiple sensors and actuators. This implies that different experts are …
Hardware Acceleration with Zero-Copy Memory Management for Heterogeneous Computing
The ROS2 software framework is increasingly prevalent in component-based applications
for robots and other autonomous systems. Recently added ROS2 features to support zero …
for robots and other autonomous systems. Recently added ROS2 features to support zero …
Smart rollators as a cost-effective solution for personalized assistance healthcare ecosystem in elderly communities
M Fernandez-Carmona, G Verdezoto… - … Computing and Ambient …, 2022 - Springer
Nowadays, the ratio of elderly people per caregiver is increasing, and the statistics confirm
that this trend will continue for decades. Healthcare systems need to change to support this …
that this trend will continue for decades. Healthcare systems need to change to support this …
A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment
F Ge, G Zhang, Z Li, F Zhou - IET Computers & Digital …, 2024 - Wiley Online Library
The asynchronous advantage actor‐critic (A3C) algorithm is widely regarded as one of the
most effective and powerful algorithms among various deep reinforcement learning …
most effective and powerful algorithms among various deep reinforcement learning …