Yashaswini Kulkarni

Papers

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About

Dr. Yashaswini Kulkarni is a leading researcher in artificial intelligence and robotics, with a primary focus on autonomous navigation systems. Her most influential work, "Indoor Navigation with Deep Reinforcement Learning" (2020), has garnered 11 citations and addresses a critical challenge: enabling reliable navigation in GPS-denied environments. By applying deep reinforcement learning algorithms, Dr. Kulkarni has developed innovative solutions for indoor navigation that are essential for robotics, drone operations, and augmented reality gaming applications. Her research bridges the gap between theoretical AI and practical deployment, offering robust frameworks for agents to learn optimal paths through complex indoor spaces without external positioning systems. This work has significant implications for autonomous delivery drones, warehouse robots, and assistive technologies for the visually impaired. Dr. Kulkarni's contributions demonstrate how reinforcement learning can overcome the limitations of traditional sensor-based approaches, paving the way for more adaptive and intelligent navigation systems in real-world settings.