首页|Research on Robotics Detailed by Researchers at Seoul National University of Sci ence and Technology (Real-Time Performance Benchmarking of RISC-V Architecture: Implementation and Verification on an EtherCAT-Based Robotic Control System)

Research on Robotics Detailed by Researchers at Seoul National University of Sci ence and Technology (Real-Time Performance Benchmarking of RISC-V Architecture: Implementation and Verification on an EtherCAT-Based Robotic Control System)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news reporting originating from Seoul, South Korea, by New sRx correspondents, research stated, "RISC-V offers a modular technical approach combined with an open, royalty-free instruction set architecture (ISA). However, despite its advantages as a fundamental building block for many embedded syste ms, the escalating complexity and functional demands of real-time applications h ave made adhering to response time deadlines challenging." Our news reporters obtained a quote from the research from Seoul National Univer sity of Science and Technology: "For real-time applications of RISC-V, real-time performance analysis is required for various ISAs. In this paper, we analyze th e real-time performance of RISC-V through two real-time approaches based on proc essor architectures. For real-time operating system (RTOS) applications, we adop ted FreeRTOS and evaluated its performance on HiFive1 Rev B (RISC-V) and STM3240 G-EVAL (ARM M). For real-time Linux, we utilized Linux with the Preempt-RT patch and tested its performance on VisionFive 2 (RISC-V), MIO5272 (x86-64), and Rasp berry Pi 4 B (ARM A). Through these experiments, we examined the response times on the real-time mechanisms of each operating system. Additionally, in the Preem pt- RT experiments, scheduling latencies were evaluated by means of the cyclictes t. These are very important parameters for implementing real-time applications c omprised of multi-tasking. Finally, in order to show the real-time capabilities of RISC-V practically, we implemented motion control of a six-axis collaborative robot, which was performed on the VisionFive 2. This implementation provided a comparative result of RISC-V's performance against the x86-64 architecture. Ulti mately, the results indicated that the real-time performance of RISC-V for real- time applications was feasible."

Seoul National University of Science and TechnologySeoulSouth KoreaAsiaComputersEmerging TechnologiesLinuxMachine LearningRoboticsRobotsSoftware

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Mar.8)