Papers
3
Total Citations
5
H-Index
2
About
Anindita Sengupta is a pioneering researcher in the intersection of robotics, computer vision, and control systems, with a primary focus on enabling safe human-robot coexistence. Her most impactful work tackles the critical challenge of visual walking stick detection in dynamic environments where robots must navigate alongside humans. In her 2024 paper, she introduced a stratified random sampling-based approach to accurately identify walking sticks in visual imagery, a problem essential for people-following robots to avoid collisions and respect personal space. This work, already garnering 2 citations, demonstrates her ability to solve real-world perception issues. Sengupta also contributes to electrohydraulic robotics, where her 2015 study on sliding mode control with integral action for precise link rotation under heavy loads has earned 2 citations, addressing fundamental challenges in industrial actuation. Her latest 2025 research advances walking stick detection using kernel density estimation-based clustering, further refining robot vision in cluttered settings. Through these contributions, Sengupta is shaping the future of assistive and collaborative robotics, making autonomous systems more perceptive and reliable in human-centered environments.
Research Focus
Key Achievements
Top Papers
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