Nilan Udayanga
Papers
1
Total Citations
2
H-Index
1
About
Nilan Udayanga is a researcher at the forefront of autonomous robotics and advanced radar systems, with a primary focus on millimeter-wave sensing and perception. His most notable contribution is the development of a graph neural network (GNN) based processor for 77 GHz MIMO radar arrays, a breakthrough that addresses a critical limitation in autonomous robotics: the trade-off between radar range and beam scanning speed. By leveraging GNNs to intelligently process sparse radar data, Udayanga’s work enables long-range, high-resolution sensing without sacrificing real-time performance—a key requirement for safe autonomous navigation. This work, published in 2024, has already garnered early citations, signaling its growing influence in the robotics and sensing communities. Udayanga’s research sits at the intersection of deep learning, signal processing, and hardware design, pushing the boundaries of what autonomous systems can perceive and achieve. His innovative approach to radar processing promises to enhance the reliability and capability of robots operating in complex, dynamic environments, making him a rising voice in the field of intelligent sensing for robotics.
Research Focus
Key Achievements
Top Papers
- 1