Chengyi Lux Zhang

University of California, Berkeley

Papers

1

Total Citations

15

H-Index

1

About

Chengyi Lux Zhang is a rising researcher at the forefront of hardware-software co-design for robotic systems, with a particular focus on enabling pre-silicon evaluation of full-stack robotics System-on-Chip (SoC) architectures. Their most cited work, "RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation" (2023, 15 citations), introduces a pioneering simulation framework that allows engineers to assess the performance and energy efficiency of robotic platforms—such as autonomous UAVs and self-driving cars—before physical chips are fabricated. This contribution is critical for accelerating innovation in next-generation computing, as it bridges the gap between software development and hardware design. Zhang’s research addresses the growing complexity of robotic systems, where optimizing both hardware and software is essential for real-world deployment. By providing a robust co-simulation infrastructure, their work enables early-stage validation, reducing development costs and time-to-market. With a focus on performance and energy efficiency, Chengyi Lux Zhang is shaping the future of autonomous systems, making their research highly relevant for students and engineers working at the intersection of robotics, embedded systems, and computer architecture.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
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: 5
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago