Seah Kim

University of California, Berkeley

Papers

2

Total Citations

16

H-Index

1

About

Seah Kim is a rising leader in robotics system-on-chip (SoC) design, specializing in hardware-software co-simulation and energy-efficient architectures for autonomous systems. Their seminal work, **RoSÉ**, introduced a groundbreaking hardware-software co-simulation infrastructure enabling pre-silicon full-stack evaluation of robotics SoCs—a critical tool for accelerating the development of autonomous UAVs and self-driving cars (15 citations). This contribution directly addresses the growing need for robust, real-time performance validation before chip fabrication. Kim’s impact extends to **MAVERIC**, a heterogeneous 16nm robotics SoC integrating 4 cores and 13 INT8/FP32 accelerator units, achieving 72 FPS at just 10 mJ/frame for complex ML and robotics workloads. This chip demonstrates exceptional energy efficiency for tasks like 3D reconstruction and depth estimation, setting a new benchmark for embedded autonomy. By bridging the gap between simulation and silicon, Kim’s work empowers researchers to design faster, more reliable robotic platforms. Their contributions are pivotal for the next generation of intelligent, power-constrained autonomous systems.

Research Focus

Key Achievements

1
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago