Raghavan Kumar

Intel (United States)

Papers

1

Total Citations

8

H-Index

1

About

Raghavan Kumar is a leading researcher in energy-efficient hardware acceleration for emerging 3D vision and robotics applications. His work focuses on designing specialized digital architectures, particularly ray-casting accelerators in advanced CMOS nodes, to enable real-time 3D scene reconstruction for edge robotics and augmented reality. Kumar's major contribution is a pioneering ray-casting accelerator fabricated in 10nm CMOS, which simultaneously casts multiple spatially proximate rays to exploit voxel data-locality. The design incorporates a near-memory search for voxel address overlaps and opportunistic approximate trilinear interpolation, achieving significant energy savings. This work, published in 2020, has garnered 8 citations and demonstrates ray-casting capabilities critical for efficient, low-power 3D perception at the edge. Kumar's innovations bridge the gap between high-performance computing and energy-constrained platforms, making him a key figure in the advancement of hardware for autonomous systems and immersive AR experiences.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications
8 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Intel (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago