Arindam Saha
Papers
6
Total Citations
91
H-Index
5
About
Arindam Saha is a robotics researcher whose work sits at the intersection of autonomous navigation, environmental perception, and collaborative robotic systems. With a career spanning nearly a decade, Saha has made significant contributions to how robots sense, interpret, and navigate complex real-world environments. His most impactful work focuses on obstacle detection and tracking, leveraging both RGB-D sensor data and 3D LiDAR technology to enable reliable autonomous navigation in dynamic, cluttered settings — research that has collectively garnered nearly 50 citations. A particular highlight is his development of CORB2I-SLAM, an adaptive collaborative visual-inertial SLAM framework that enables multiple robots equipped with diverse camera configurations to jointly map unknown environments — a technically demanding challenge that has attracted 14 citations. His earlier work explored multi-modal 3D perception platforms and human-like sensing for remote robotic inspection, demonstrating a consistent drive to build robots that perceive the world with greater sophistication and utility. Across his publications, Saha's research reflects a coherent vision: equipping autonomous robots with the perceptual intelligence necessary to operate safely and effectively alongside humans in unpredictable environments.
Research Focus
Key Achievements
Top Papers
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- 4Human-Like Sensing for Robotic Remote Inspection and Analytics13 citations · 2016
- 5A next generation mobile robot with multi-mode sense of 3D perception12 citations · 2015
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