Sagnik Chakraborty
Papers
2
Total Citations
7
H-Index
2
About
Sagnik Chakraborty is a researcher at the forefront of soft robotics and intelligent actuation systems, with a focus on overcoming the challenges of nonlinear dynamics in bio-inspired hardware. His work centers on the modeling and control of pneumatic artificial muscles (PAMs) and the development of reinforced soft actuators that combine improved mechanical performance with integrated force sensing. In his 2022 study on neural network-based gain scheduled position control for PAMs, Chakraborty tackled the inherent hysteresis and nonlinearities that make these actuators difficult to model, proposing a data-driven control strategy that enhances precision in robotic applications. His 2021 design of a reinforced soft bending-type actuator further demonstrates his contribution to practical, sensor-integrated soft robotics. Though early in his career, his papers have already garnered citations from peers working on compliant mechanisms and control theory. Chakraborty’s work bridges the gap between advanced control algorithms and real-world actuator design, making him a promising voice in the next generation of soft roboticists. His research is particularly relevant for students and engineers seeking to understand how neural networks can tame the complex physics of soft, muscle-like systems.
Research Focus
Key Achievements
Top Papers
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- 2