Rohin Lengade
Papers
1
Total Citations
3
H-Index
1
About
Rohin Lengade is a robotics researcher whose work centers on bridging the gap between traditional industrial manipulation and adaptive, intelligent automation. His primary research areas include physics-informed machine learning, robotic assembly, and autonomous manipulation under uncertainty. Lengade’s most notable contribution is his pioneering work on enabling robotic screw-driving under hole pose uncertainties, a critical challenge in manufacturing and assembly. His 2023 paper, "Physics-Informed Learning to Enable Robotic Screw-Driving Under Hole Pose Uncertainties," demonstrates how integrating physical models with learning-based approaches allows robots to successfully perform precision tasks even when hole positions cannot be estimated accurately—a scenario where conventional position-controlled manipulators fail. This work addresses a fundamental limitation in industrial robotics, offering a pathway toward more flexible and robust automation. While his citation count is still growing, reflecting the recency of his contributions, Lengade’s research has immediate practical implications for sectors ranging from automotive assembly to electronics manufacturing. His approach represents a significant step toward making robots capable of handling real-world variability, moving beyond rigid programming to adaptive, intelligent operation.
Research Focus
Key Achievements
Top Papers
- 1