Shiv Capoor

University of Petroleum and Energy Studies

Papers

Total Citations

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About

Shiv Capoor is a researcher at the forefront of intelligent robotics and Internet of Things (IoT) systems, with a focus on creating seamless human-machine interactions. His work bridges the gap between autonomous navigation and smart environments, as demonstrated in his most-cited paper, "Internet of Things Enabled Robot Based Smart Room Automation and Localization System" (2018, 11 citations), which integrates IoT connectivity with robotic control for enhanced indoor automation. In his earlier influential study, "Obstacle avoidance for mobile robot using RGB-D camera" (2017, 6 citations), Capoor tackled the persistent challenge of autonomous navigation in cluttered indoor spaces by leveraging the Kinect sensor and the Robot Operating System (ROS) to achieve real-time, vision-based obstacle avoidance. This work laid critical groundwork for cost-effective, sensor-driven robotics. Capoor’s contributions are particularly notable for their practical applications in smart home technology and mobile robot autonomy, offering scalable solutions that combine hardware accessibility with robust software frameworks. His research continues to inspire innovations in IoT-robotics integration, making him a valuable voice for students and engineers exploring the future of intelligent, responsive systems.