Papers
12
Total Citations
116
H-Index
4
About
Dr. Jharna Majumdar’s research lies at the intersection of robotics, computer vision, and intelligent control systems, with a particular focus on enabling autonomous navigation and human-robot interaction. Her most influential work, “Kinematics, Localization and Control of Differential Drive Mobile Robot” (2014, 74 citations), provides foundational methods for trajectory planning and closed-loop motion control in static indoor environments, establishing a core framework for mobile robot autonomy. She has also made significant contributions to 3D object recognition, developing CAD model-based systems that match scene descriptions with object models—a pioneering approach in the late 1980s and 1990s. Her more recent work extends into socially impactful applications, such as using a humanoid robotic head to teach children with autism (2018), and implementing real-time tracking algorithms on embedded platforms like the BeagleBoard-xM. Across her career, Dr. Majumdar has advanced computer vision techniques for door sensing, image enhancement, and occlusion handling, demonstrating a sustained commitment to bridging theoretical algorithms with practical, real-world robotic systems. Her research continues to inspire students and engineers working at the frontiers of intelligent robotics and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Kinematics, Localization and Control of Differential Drive Mobile Robot74 citations · 2014
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- 3Intelligent Vision System for Door Sensing Mobile Robot7 citations · 2012
- 4A CAD Model Based System for Object Recognition6 citations · 1997
- 5Humanoid Robotic Head Teaching a Child with Autism3 citations · 2018
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