Mridusmita Mazumdar
Papers
1
Total Citations
11
H-Index
1
About
Mridusmita Mazumdar is a researcher whose work lies at the intersection of robotics, artificial intelligence, and human-robot interaction, with a particular focus on enabling autonomous systems to navigate safely and intuitively in dynamic, unpredictable environments. Her most-cited paper, "Mobile Robot Navigation in Unknown Dynamic Environment Inspired by Human Pedestrian Behavior" (2018), has garnered 11 citations and exemplifies her key contribution: developing bio-inspired algorithms that allow robots to mimic human decision-making in crowded or changing spaces. By modeling pedestrian-like movement patterns, Mazumdar’s approach enhances robot adaptability, reducing collision risks and improving efficiency in real-world settings such as warehouses, hospitals, or public spaces. This work not only advances the theoretical foundations of mobile robotics but also offers practical solutions for seamless human-robot coexistence. Her research is notable for bridging the gap between computational models and human behavior, making her a promising voice in the field. With a growing citation footprint, Mazumdar’s contributions are shaping how robots perceive and respond to the world, paving the way for more intelligent and socially aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1