Anjula De Silva
Papers
2
Total Citations
26
H-Index
2
About
Dr. Anjula De Silva is a researcher whose work sits at the intersection of sensor technology and robotic perception, making significant contributions to both hardware design and intelligent navigation. Her most cited work, "A Readout Circuit Based on Zero Potential Crosstalk Suppression for a Large Piezoresistive Sensor Array" (2021, 15 citations), tackles a critical challenge in tactile sensing: the parasitic crosstalk that plagues large-scale pressure sensor arrays. By proposing a novel readout circuit architecture, she offers a hardware-based solution that eliminates the need for complex post-processing, directly improving the accuracy and reliability of 2D pressure distribution mapping for applications in robotics and human-machine interfaces. Earlier, her foundational work in mobile robotics, "Obstacle Detection and Map Building with a Rotating Ultrasonic Range Sensor using Bayesian Combination" (2006, 11 citations), demonstrated a probabilistic approach to spatial awareness using a single, rotating sensor. This work highlights her ability to extract robust environmental information from limited, noisy data—a key skill for autonomous navigation. Together, these contributions showcase a career dedicated to bridging the gap between novel sensor hardware and the intelligent algorithms needed to interpret their signals, with a clear impact on the development of more perceptive and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2