P. R.S. De Silva

Papers

Total Citations

H-Index

About

Dr. P.R.S. De Silva is a robotics researcher specializing in affordable, vision-based autonomous systems for indoor environments. His most cited work, "Vision Based Office Assistant Robot System for Indoor Office Environment" (2018, 9 citations), demonstrates a practical, low-cost approach to building service robots using open-source software like ROS Indigo and inexpensive sensors. This contribution highlights his commitment to democratizing robotics by proving that functional, accurate office assistants can be developed without expensive proprietary hardware. Dr. De Silva’s research bridges computer vision, autonomous navigation, and human-robot interaction, focusing on unstructured settings where adaptability is key. By prioritizing accessibility and real-world deployment, his work offers a scalable template for educational and small-scale robotics projects. While his citation count reflects a focused niche, the impact lies in the reproducibility and cost-efficiency of his designs—a valuable resource for students and researchers seeking to enter the field without high barriers to entry. His achievements underscore a dedication to practical innovation in service robotics.