Saumya Ranjan Sahoo
Papers
3
Total Citations
6
H-Index
2
About
Saumya Ranjan Sahoo is a robotics researcher focused on intelligent automation, control systems, and manufacturing process optimization. His work bridges computer vision and robotic manipulation, particularly in precision manufacturing tasks. In his 2019 paper on burr detection and trajectory generation for robotic deburring, Sahoo developed a novel image processing pipeline that identifies burr locations on 2D workpieces and generates optimized robot trajectories for removal—a contribution that enhances automation in finishing operations. His research also addresses the challenges of mobile robotics: he has designed robust backstepping controllers for omnidirectional mobile robots that maintain stability under uncertainties and external disturbances, and has applied bond graph modeling and flatness-based control for precise motion control of these platforms. While his citation counts are currently modest (2 citations per paper), his work demonstrates a strong foundation in integrating perception with control for real-world robotic applications. Sahoo’s contributions are particularly relevant for researchers exploring vision-guided manufacturing and resilient mobile robot navigation.
Research Focus
Key Achievements
Top Papers
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