Papers
3
Total Citations
20
H-Index
3
About
Taeho Yoo is a robotics and embedded systems researcher whose work bridges the gap between open-source hardware architectures and real-time industrial control. His primary research areas include RISC-V processor performance benchmarking, EtherCAT-based robotic control systems, and interactive motion planning for collaborative robots. Yoo’s most impactful contribution is his pioneering benchmarking of the RISC-V architecture for real-time applications, demonstrating its viability as an open, royalty-free alternative to proprietary ISAs in demanding embedded control environments—work that has already garnered 12 citations since its 2024 publication. He also developed an interactive path editing and simulation system that enables safe, precise motion planning for collaborative robots operating in hazardous environments, allowing engineers to verify safety protocols through extensive simulation before deployment. This dual focus on hardware benchmarking and software simulation positions Yoo at the forefront of making advanced robotics more accessible and reliable. His work is particularly notable for addressing the escalating complexity of real-time systems while championing open-source solutions, offering a practical pathway for integrating RISC-V into both academic research and industrial robotic applications.
Research Focus
Key Achievements
Top Papers
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