Accelerated Middleware and Benchmarking for Robotics
Accelerated Middleware and Benchmarking for Robotics
Project Overview
End-to-end robotics applications can only take advantage of accelerated algorithms, like those developed in many of our other lines of research, if they can be run on, and tested through, accelerated middleware and benchmarking frameworks. As such, in this research thrust, we are working to develop such comprehensive benchmarking frameworks, middleware interconnects, and runtime systems with adaptive parameter tuning. Importantly, all of these solutions are being designed for widespread use across robotics (e.g., with native integrations for ROS and ROS2).
Publications
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(2024). RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. In ICRA 2024.
Best Poster Award for preliminary results at the Workshop on Methods for Objective Comparison of Results in Intelligent Robotics Research at the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (iROS)
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(2022). RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. In IROS 2022.
