Kavit Shah

Papers

Total Citations

H-Index

About

Kavit Shah is a researcher advancing the frontiers of robotics and secure healthcare systems. His primary research areas include autonomous mobile robot navigation and cybersecurity for telesurgery. Shah’s most notable contribution is the development of **GOAT (GO to Any Thing)**, a universal navigation system designed for long-term autonomous operation in complex environments like homes and warehouses. This work, published in 2024, has already garnered **37 citations**, reflecting its immediate impact on the field of embodied AI and service robotics. The system enables robots to understand and execute intuitive human commands, bridging the gap between natural language and robotic action. In parallel, Shah addresses critical challenges in Healthcare 4.0, proposing a **deep learning-orchestrated garlic routing architecture** for secure telesurgery operations. This 2025 paper tackles the vulnerability of remote surgical procedures to cyberattacks, ensuring data integrity and patient safety. By integrating deep learning with network security, Shah’s work provides a robust framework for the next generation of IoT-based medical interventions. His research uniquely combines practical robotic deployment with the urgent need for cybersecurity in life-critical applications, positioning him as an emerging leader in both autonomous systems and secure digital health.