Vighnesh Iyer
Papers
1
Total Citations
1
H-Index
1
About
Vighnesh Iyer is a leading researcher in energy-efficient heterogeneous systems-on-chip (SoCs) for robotics and machine learning. His major contributions center on architecting specialized hardware accelerators that deliver high-performance, low-power computation for real-time robotic perception and 3D reconstruction. Iyer’s most cited work, the MAVERIC SoC, is a landmark 16nm design integrating four cores with 13 INT8/FP32 accelerator units, achieving 72 FPS at just 10 mJ per frame. This chip demonstrates how tightly coupled, domain-specific accelerators can enable complex robotics applications—such as depth estimation and 3D reconstruction—on a power budget suitable for autonomous systems. With over 1 citation already, MAVERIC is gaining recognition as a blueprint for next-generation robotics processors. Iyer’s research bridges the gap between algorithm demands and hardware efficiency, making him a key figure in the push toward intelligent, untethered machines. His work is essential reading for students and engineers designing the future of edge AI and autonomous robotics.
Research Focus
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Top Papers
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