Divake Kumar
Papers
2
Total Citations
5
H-Index
2
About
Divake Kumar is an emerging researcher at the forefront of edge computing, autonomous robotics, and intelligent sensing systems. His work tackles some of the most pressing challenges in deploying AI-driven autonomy on resource-constrained hardware, with a particular focus on making real-world robotic systems both energy-efficient and reliable under uncertainty. Kumar's most recognized contribution, "Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics" (2024, 3 citations), pioneered energy-efficient and uncertainty-aware pose estimation for insect-scale drones — a breakthrough with compelling applications in surveillance, search-and-rescue operations, and non-intrusive smart home spatial intelligence. His follow-up work, "Intelligent Sensing-to-Action for Robust Autonomy at the Edge" (2025, 2 citations), broadens this vision, examining how seamless integration of sensing, processing, and actuation enables real-time decision-making across autonomous vehicles, smart cities, and edge robotics platforms. Though early in his career, Kumar's research sits at a critical intersection of neuromorphic computing, embedded AI, and autonomous systems. His focus on the sensing-to-action loop positions him as a thoughtful contributor to next-generation edge intelligence — making him a researcher worth following closely as the field rapidly matures.
Research Focus
Key Achievements
Top Papers
- 1
- 2