Papers
2
Total Citations
30
H-Index
2
About
Kaushik Bhowmik is a rising researcher in the field of multi-robot systems, with a primary focus on distributed simultaneous localization and mapping (SLAM) and autonomous exploration. His work addresses critical challenges in enabling teams of robots to collaboratively navigate and map unknown environments without centralized control. Bhowmik’s most-cited paper, "Distributed Ranging SLAM for Multiple Robots with Ultra-WideBand and Odometry Measurements" (2022, 23 citations), introduces a novel approach that leverages Ultra-WideBand (UWB) technology to overcome the limitations of traditional LiDAR-based SLAM in featureless environments. This work is particularly impactful for real-world applications where visual or laser features are sparse. More recently, his 2024 paper on "Distributed multi-robot potential-field-based exploration with submap-based mapping and noise-augmented strategy" (7 citations) advances the field by integrating potential-field methods with noise-augmented strategies to improve exploration efficiency and robustness. Bhowmik’s contributions are notable for their practical focus on scalability and resilience, making his research highly relevant for applications in search-and-rescue, industrial automation, and environmental monitoring. As a researcher at the intersection of robotics and distributed systems, Bhowmik is establishing a strong foundation for future innovations in autonomous multi-agent coordination.
Research Focus
Key Achievements
Top Papers
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