Salil Parth Tripathi

Papers

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About

Salil Parth Tripathi is a robotics and automation researcher whose work focuses on developing intelligent systems for real-world applications, particularly in healthcare logistics. His most-cited paper, "Simulation of Autonomous Mobile Robot System for Food Delivery in In-patient Ward with Unity" (2020, 15 citations), addresses a critical challenge exposed by the COVID-19 pandemic: the need for contactless, efficient transportation within quarantine wards. By simulating an autonomous mobile robot (AMR) system using Unity, Tripathi demonstrated how robotic platforms can safely deliver food and supplies to patients, minimizing human exposure to infection while maintaining operational reliability. This contribution sits at the intersection of mobile robotics, simulation-based design, and healthcare automation. Beyond this work, Tripathi’s research explores broader themes in autonomous navigation, human-robot interaction, and the integration of robotic systems into sensitive environments like hospitals. His simulation-driven approach provides a cost-effective, risk-free method for testing and validating robotic behaviors before real-world deployment. With growing interest in pandemic preparedness and smart hospital infrastructure, Tripathi’s work offers a practical blueprint for leveraging robotics to enhance safety and efficiency in healthcare settings. His research continues to inspire students and engineers seeking to build resilient, autonomous systems for societal benefit.