Nikhil Jha

Berkeley Systems (United States)

Papers

3

Total Citations

48

H-Index

3

About

Nikhil Jha is a pioneering researcher at the intersection of robotics, cloud computing, and hardware acceleration, whose work is fundamentally reshaping how robots access and leverage computational power. His primary research areas include fog and cloud robotics, edge computing, and domain-specific architectures for machine learning. Jha's most significant contribution is the development of the FogROS platform, particularly FogROS2 (2023, 38 citations), which provides an adaptive framework enabling resource-constrained robots to offload heavy computational workloads to cloud providers like AWS and GCP using the Robot Operating System 2. This work directly addresses the fundamental challenge of robots lacking sufficient onboard computing power for contemporary algorithms. In hardware innovation, Jha co-developed NeCTAr (2024), a 16nm heterogeneous RISC-V system-on-chip that achieves 109 GOPS for matrix-vector multiplications, specifically designed for language model inference and robotics applications. His FogROS G (2022) extended this vision by introducing secure, global addressability for mobile fog robotics. Through these contributions, Jha has established himself as a leading architect of the computational infrastructure that will enable the next generation of intelligent, cloud-connected robots.

Research Focus

Key Achievements

3
H-Index
3
Papers
48
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
38 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Berkeley Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago