Guru Subramani
Papers
2
Total Citations
49
H-Index
2
About
Guru Subramani is a robotics researcher whose work lies at the intersection of continuum manipulator mechanics and human-robot interaction. His most influential contribution is an analytical modeling approach to understanding friction in single tendon-driven continuum manipulators (2015, 36 citations), which provided a foundational framework for predicting the behavior of these flexible, snake-like robots—critical for applications in minimally invasive surgery and industrial inspection. This work remains a key reference for researchers tackling the complex physics of tendon-driven systems. Subramani has also made important strides in human-robot collaboration, notably characterizing input methods for human-to-robot demonstrations (2019, 13 citations). By systematically evaluating how different demonstration interfaces—such as kinesthetic teaching, joysticks, and vision-based tracking—affect the quality of robot learning, his research provides practical guidance for designing more intuitive and effective teaching tools. Together, these contributions reflect a dual focus on fundamental mechanical modeling and user-centered design, positioning Subramani as a thoughtful voice in the growing field of soft and continuum robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Characterizing Input Methods for Human-to-Robot Demonstrations13 citations · 2019