Muralidharan Mohanakrishnan
Papers
3
Total Citations
95
H-Index
3
About
Muralidharan Mohanakrishnan is a pioneering researcher in soft robotics, focusing on the intersection of perception, control, and intelligent interaction. His key research areas include soft continuum robots, proprioception, and adaptive control for unstructured environments. Mohanakrishnan’s major contributions center on equipping soft robots with human-like perceptual models, enabling them to simultaneously sense proprioception and contact during tasks—a breakthrough detailed in his highly cited 2024 paper (53 citations). He has also advanced practical applications through the development of a soft robotic arm with an extensible stiffening layer (25 citations), addressing the critical trade-off between softness and load-bearing capability. His work on meta-learning-based optimal control (17 citations) further demonstrates his impact, allowing soft manipulators to safely interact with unknown environments despite their inherent nonlinearity. With a growing citation record and a focus on bridging biological inspiration with robotic control, Mohanakrishnan is shaping the future of intelligent, perception-driven soft robotics for real-world interactive tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2Soft Robotic Arm With Extensible Stiffening Layer25 citations · 2023
- 3