RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance-Reference-Cited by-同舟云学术

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

Published:2024-05-13 Issue: Volume:3 Page:8288-8297
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Mayoral-Vilches Víctor¹,Jabbour Jason²,Hsiao Yu-Shun²,Wan Zishen³,Crespo-Álvarez Martiño¹,Stewart Matthew²,Reina-Muñoz Juan Manuel¹,Nagras Prateek¹,Vikhe Gaurav¹,Bakhshalipour Mohammad⁴,Pinzger Martin⁵,Rass Stefan⁶,Panigrahi Smruti⁷,Corradi Giulio⁸,Roy Niladri⁹,Gibbons Phillip B.⁴,Neuman Sabrina M.¹⁰,Plancher Brian¹¹,Reddi Vijay Janapa²

Affiliation:

1. Acceleration Robotics,Spain

2. Harvard University,USA

3. Georgia Institute of Technology,USA

4. Carnegie Mellon University,USA

5. Alpen-Adria-Universität Klagenfurt,Austria

6. Johannes Kepler University,Linz,Austria

7. Ford Motor Company,USA

8. AMD,USA

9. Intel,USA

10. Boston University,USA

11. Columbia University,Barnard College,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610841.pdf?arnumber=10610841

Reference100 articles.

1. Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology

2. Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization

3. Isaac gym: High performance gpu-based physics simulation for robot learning;Makoviychuk,2021

4. GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients

5. RobotCore: An Open Architecture for Hardware Acceleration in ROS 2

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