JOURNAL ARTICLE

RISC-V FPGA Platform Toward ROS-Based Robotics Application

Abstract

RISC-V is free and open standard instruction set architecture following reduced instruction set computer principle. Because of its openness and scalability, RISC-V has been adapted not only for embedded CPUs such as mobile and IoT market, but also for heavy-workload CPUs such as the data center or super computing field. On top of it, Robotics is also a good application of RISC-V because security and reliability become crucial issues of robotics system. These problems could be solved by enthusiastic open source community members as they have shown on open source operating system. However, running RISC-V on local FPGA becomes harder than before because now RISC-V foundation are focusing on cloud-based FPGA environment. We have experienced that recently released OS and toolchains for RISC-V are not working well on the previous CPU image for local FPGA. In this paper we design the local FPGA platform for RISC-V processor and run the robotics application on mainstream Robot Operating System on top of the RISC-V processor. This platform allow us to explore the architecture space of RISC-V CPU for robotics application, and get the insight of the RISC-V CPU architecture for optimal performance and the secure system.

Keywords:
Reduced instruction set computing Computer science Field-programmable gate array Embedded system Robotics Scalability Artificial intelligence Instruction set Operating system Computer architecture Robot Computer hardware

Metrics

17
Cited By
1.76
FWCI (Field Weighted Citation Impact)
1
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Embedded Systems Design Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
CCD and CMOS Imaging Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.