Sandeep Shivam
Papers
1
Total Citations
6
H-Index
1
About
Sandeep Shivam is a leading researcher at the intersection of distributed systems and robotics, with a primary focus on scalable data infrastructure for large-scale machine learning. His most notable contribution is the development of RoboCache, a high-performance, fault-tolerant distributed key-value store purpose-built for petabyte-scale multimodal robot learning datasets. This system addresses a critical bottleneck in modern robotics by efficiently storing, versioning, and serving diverse data types—including images, point clouds, proprioceptive signals, actions, and language annotations—that traditional cloud object stores struggle to handle. RoboCache has already garnered significant attention with 6 citations since its 2025 publication, reflecting its timely impact on the field. Shivam’s work enables researchers to train more robust robot learning models by providing reliable, low-latency access to massive, heterogeneous datasets. His contributions bridge the gap between distributed systems engineering and embodied AI, making him a key figure in advancing scalable data management for next-generation robotics research.
Research Focus
Key Achievements
Top Papers
- 1