Debashis Sen
Papers
2
Total Citations
11
H-Index
2
About
Debashis Sen is a robotics researcher focused on advancing autonomous manipulation in unstructured industrial environments. His work centers on integrating machine vision, dexterous gripping, and intelligent perception to enable flexible assembly systems. In his highly cited 2018 paper, Sen developed a complete flexible assembly system that combines industrial robot control with machine vision guidance and a multi-finger gripper, laying foundational work for adaptive manufacturing. His 2022 contribution introduces a novel structure-aware approach for detecting and localizing multiple salient regions in cluttered workspaces, enabling robots to handle arbitrarily placed objects without prior environment structuring. This technique performs local feature analysis to identify grasp-relevant regions, directly addressing the challenge of autonomous operation in real-world industrial settings. While his citation counts are currently modest, Sen's research represents important steps toward practical, vision-guided robotic manipulation that can adapt to changing conditions. His work bridges computer vision and robotic control, offering solutions for factories seeking greater automation flexibility without extensive environment reconfiguration.
Research Focus
Key Achievements
Top Papers
- 1
- 2