Indrani Goswami

Papers

Total Citations

136

H-Index

About

Indrani Goswami is a leading figure in the field of mobile robotics, with a core research focus on intelligent path-planning and multi-robot coordination. Her work is distinguished by the innovative application of nature-inspired and reinforcement learning algorithms to solve complex navigation problems. Her most influential contribution is the pioneering paper "Multi-robot path-planning using artificial bee colony optimization algorithm" (2011), which has garnered over 100 citations. This work introduced a novel, swarm-based approach for determining efficient trajectories for multiple robots, offering a robust alternative to traditional methods. Goswami has also made significant strides in reinforcement learning, developing advanced Q-learning variants. Her "Extended Q-Learning Algorithm" (2010) and the "Conditional Q-Learning algorithm" (2010) introduced more efficient, state-dependent update mechanisms, reducing computational overhead in single-robot navigation. By blending bio-inspired optimization with adaptive learning, Goswami’s research has provided scalable solutions for autonomous systems, making her a respected voice in the robotics community and a key reference for students exploring intelligent path-planning.