Belliappa Kuttanna
Papers
1
Total Citations
19
H-Index
1
About
Belliappa Kuttanna is a leading researcher at the intersection of computer architecture and embedded systems, with a primary focus on enabling real-time, energy-efficient visual-inertial odometry (VIO) for autonomous platforms. His work addresses critical compute bottlenecks in VIO—a foundational technology for AR/VR, drones, and autonomous navigation—through innovative hardware-software co-design. His most cited paper, "Visual Inertial Odometry At the Edge" (2019, 19 citations), demonstrates a highly optimized approach that achieves ultra-low latency and power consumption, making edge-based VIO practical for resource-constrained devices. This contribution is pivotal for advancing autonomous systems that require real-time pose estimation without cloud dependency. Kuttanna’s research bridges the gap between algorithmic demands and hardware capabilities, offering scalable solutions for next-generation robotics and mobile platforms. His work is recognized for its practical impact, providing a blueprint for efficient, on-device perception in emerging autonomous applications.
Research Focus
Key Achievements
Top Papers
- 1