Seema Duhan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Seema Duhan is a robotics and artificial intelligence researcher whose work centers on autonomous navigation, path planning, and human-robot interaction in complex, real-world environments. Her most significant contribution is the development of a YOLO-based vision system integrated with a SARSA reinforcement learning algorithm, enabling biped robots to detect and avoid obstacles while dynamically planning collision-free paths. This approach was specifically designed for uncertain hospital settings, where undetected small objects pose unique navigation challenges. Her pioneering 2024 paper on this topic has already garnered 4 citations, reflecting its immediate relevance to the growing field of service robotics. Dr. Duhan’s research bridges computer vision and reinforcement learning, offering practical solutions for safe robotic mobility in healthcare and other unpredictable indoor spaces. Her work is notable for its direct application to improving patient care environments, demonstrating how advanced AI can enhance robotic autonomy and safety in critical infrastructure.
Research Focus
Key Achievements
Top Papers
- 1