Indrani Goswami Chakraborty

Papers

Total Citations

270

H-Index

About

Dr. Indrani Goswami Chakraborty is a leading researcher in robotics and artificial intelligence, with a primary focus on intelligent path planning and reinforcement learning for autonomous systems. Her most influential contribution is the development of a deterministic improved Q-learning algorithm for mobile robot navigation, published in a seminal 2013 paper that has garnered over 270 citations. In this work, she introduced a novel approach that leverages presumed distance knowledge between states and the goal to update the Q-table efficiently, using four derived properties to reduce computational overhead. This breakthrough significantly enhances the speed and reliability of path planning in dynamic environments, addressing a critical challenge in autonomous robotics. Her research has had a lasting impact on the fields of machine learning and control systems, providing a foundation for more efficient decision-making algorithms. Dr. Goswami Chakraborty’s work is widely recognized for its practical applications in mobile robotics, and her deterministic Q-learning method remains a key reference for researchers developing real-time navigation systems.