S. Patilkulkarni

Papers

Total Citations

H-Index

About

Dr. S. Patilkulkarni is a robotics researcher whose work focuses on the integration of artificial intelligence, computer vision, and embedded systems for autonomous navigation in indoor environments. Their most cited paper, "Depth Camera based Autonomous Mobile Robot for Indoor Environments" (2018), addresses the critical challenge of enabling robots to perceive and move safely within complex indoor spaces using depth-sensing technology. This contribution is particularly significant given the growing demand for service and industrial robots in settings like warehouses, hospitals, and homes. With 2 citations, this foundational work has helped lay the groundwork for more advanced autonomous systems that rely on affordable, real-time depth perception rather than expensive LIDAR. Patilkulkarni’s research is especially relevant to students and engineers interested in practical robotics—bridging the gap between high-level AI algorithms and low-level hardware constraints. By demonstrating how off-the-shelf depth cameras can be paired with efficient embedded processors, their work offers a scalable blueprint for creating intelligent, cost-effective mobile robots capable of navigating dynamic indoor environments.