Srudeep Somnaath Thevendria-Karthic
Papers
3
Total Citations
59
H-Index
3
About
Srudeep Somnaath Thevendria-Karthic is a researcher focused on the intersection of robotics, automation, and human-robot collaboration, with a particular emphasis on overcoming the limitations of automated perception systems. His work addresses a critical bottleneck in industrial robotics: the failure of vision systems during unstructured bin-picking tasks. Thevendria-Karthic’s major contribution lies in developing a hybrid model that leverages the complementary strengths of humans and robots. Rather than relying solely on automation, his approach enables a robot to detect when its perception confidence is low and proactively request remote human assistance to resolve failures in part recognition and pose estimation. This framework, detailed in his most-cited paper (40 citations), significantly enhances the robustness and reliability of robotic bin-picking for subsequent operations like kitting and assembly. By designing systems that allow remote operators to intervene in challenging scenarios, his work paves the way for more resilient and practical automation in hybrid assembly cells. Thevendria-Karthic’s research is essential reading for anyone interested in industrial robotics, perception uncertainty, and the future of human-in-the-loop automation.
Research Focus
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Top Papers
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