Papers
6
Total Citations
79
H-Index
3
About
Jong-Hyeok Yoon is a researcher specializing in energy-efficient hardware accelerators for robotics and autonomous systems, with a particular focus on simultaneous localization and mapping (SLAM) at the edge. His work sits at the intersection of neuromorphic computing, mixed-signal circuit design, and real-world robotic applications, addressing one of the most computationally demanding challenges in autonomous navigation. Yoon's most influential contribution is NeuroSLAM, a 65-nm mixed-signal oscillator-based SLAM accelerator achieving an impressive 8.79 TOPS/W efficiency, which has garnered 35 citations and was presented in two complementary publications totaling nearly 60 citations combined. This work demonstrated how bio-inspired, neuromorphic architectures could dramatically reduce power consumption for edge devices such as UAVs and mobile robots operating under strict energy budgets. Building on this foundation, Yoon has extended his research into multi-agent and swarm robotics contexts, developing accelerators like BEE-SLAM that enable collaborative localization without reliance on centralized servers. His 2024 work on bristle robot surveillance further showcases his versatility, integrating embedded RRAM memory with localization solvers in ultra-compact form factors. Across his career, Yoon's contributions have meaningfully advanced the viability of intelligent, autonomous edge robotics in GPS-denied and resource-constrained environments.
Research Focus
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Top Papers
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