Bibhas Chandra Dhara
Papers
3
Total Citations
61
H-Index
3
About
Bibhas Chandra Dhara is a leading researcher in autonomous robotics, with a primary focus on perception, navigation, and multi-robot collaboration in dynamic, cluttered environments. His major contributions lie in developing robust obstacle detection and tracking systems using RGB-D sensors and 3D LiDAR, enabling safer autonomous navigation—his 2022 paper on RGB-D based detection has garnered 24 citations, while his 2023 LiDAR work has reached 23 citations, reflecting strong impact in the field. Dhara also made notable strides in collaborative SLAM with his CORB2I-SLAM framework, which integrates visual and inertial data from multiple robots to generate resilient global maps, earning 14 citations since 2022. His work addresses critical challenges in real-world robotics, from sensor fusion to adaptive teamwork among autonomous agents. For students and researchers, Dhara’s research offers a compelling blend of theoretical rigor and practical application, pushing the boundaries of how robots perceive and navigate unpredictable spaces—a cornerstone for the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
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