Ricardo Shawn

Papers

Total Citations

H-Index

About

Ricardo Shawn is a robotics researcher whose work focuses on low-cost automation and real-time perception systems for mobile robots. His most cited paper, “Low-cost, real-time obstacle avoidance for mobile robots” (2017), has garnered 4 citations and demonstrates a practical approach to advancing robotics by leveraging affordable sensors and microprocessors. Shawn’s major contribution lies in developing a depth-perception mechanism that enables robots to navigate dynamic environments without expensive hardware, making autonomous navigation more accessible for small-scale applications and educational projects. This work bridges the gap between high-cost industrial robotics and consumer-level automation, offering a scalable solution for obstacle avoidance in real time. While his citation count is modest, his research holds significance for researchers and students interested in cost-effective robotics, sensor integration, and embedded systems. Shawn’s focus on democratizing robotic technology highlights his commitment to practical innovation, and his paper serves as a foundational reference for those exploring low-budget, real-world robotic implementations.