Víctor Mayoral-Vilches — accepted AI-conference papers

2024

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance

Víctor Mayoral-Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martiño Crespo-Álvarez, Matthew Stewart +13

ICRA 2024poster

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 as its common baseline. The suite encompasses ROS 2 packages covering the full robotics pipeline and integrates two distinct benc…

Cited by 16 Source ↗code ↗Scholar ↗

2023

FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2

Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Víctor Mayoral-Vilches +9

ICRA 2023poster

Mobility, power, and price points often dictate that robots do not have sufficient computing power on board to run contemporary robot algorithms at desired rates. Cloud computing providers such as AWS, GCP, and Azure offer immense computing power and increasingly low latency on demand, but tapping i…

Cited by 25 Source ↗code ↗Scholar ↗

2022

RobotCore: An Open Architecture for Hardware Acceleration in ROS 2

Víctor Mayoral-Vilches, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi

IROS 2022poster

Hardware acceleration can revolutionize robotics, enabling new applications by speeding up robot response times while remaining power-efficient. However, the diversity of acceleration options makes it difficult for roboticists to easily deploy accelerated systems without expertise in each specific h…

Cited by 22 Source ↗Scholar ↗