Papers
14
Total Citations
60
H-Index
5
About
Suman Deb is a multidisciplinary researcher whose work spans robotics, autonomous systems, human-robot interaction, and agricultural technology. With a career bridging foundational engineering and cutting-edge artificial intelligence, Deb has made meaningful contributions to the fields of mobile robotics, sensor fusion, and intelligent navigation systems. Among his most impactful contributions is his work on autonomous ground vehicles (AGVs) and SLAM-based navigation, exploring bio-inspired algorithms, LiDAR integration, and deep learning frameworks such as YOLO v4 for real-time obstacle detection and path mapping. His most cited work examines the application of information and electronic technologies in livestock production systems, reflecting a notable versatility that extends his robotics expertise into precision agriculture. His early stochastic modeling of multi-sensory robotic assembly systems, dating to 2002, demonstrates a long-standing commitment to advancing industrial automation. Deb has also contributed to socially meaningful technology through his design of humanoid robot-integrated learning frameworks for children with special needs, blending gesture-based interaction with educational outcomes. Collectively accumulating over 50 citations, his body of work reflects a sustained effort to make intelligent systems more adaptive, efficient, and human-centered — offering valuable insights for students and researchers in robotics, AI, and smart systems design.
Research Focus
Key Achievements
Top Papers
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- 4Designing a humanoid robot integrated Exer-Learning-Interaction(ELI)5 citations · 2020
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- 7LiDAR Integration with ROS for SLAM Mediated Autonomous Path Exploration4 citations · 2022
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