Rahul Shakya

Papers

Total Citations

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About

Rahul Shakya is a robotics and autonomous systems researcher whose work has focused on the development of intelligent unmanned ground vehicles. Operating within the Trinity College Robot Study Team, Shakya has made meaningful contributions to the field of autonomous navigation and embedded systems design, particularly through iterative enhancements to "Q," a competitive autonomous ground vehicle built for the Intelligent Ground Vehicle Competition (IGVC). His 2011 paper on parallelized software architecture demonstrated innovative approaches to improving real-time processing performance in autonomous vehicles, introducing a restructured software framework alongside an upgraded vision processor and power system improvements. Building on this foundation, his 2012 work advanced the intelligence algorithms governing Q's autonomous navigation capabilities, reflecting a sustained commitment to refining decision-making systems in mobile robotics. Together, these publications have accumulated 5 citations, representing early-career contributions to a technically demanding and rapidly evolving field. Shakya's research sits at the intersection of computer vision, artificial intelligence, and robotics engineering — areas that have since grown enormously in relevance. His work offers a valuable glimpse into the hands-on, competition-driven research that continues to inspire the next generation of autonomous systems engineers.