Siladitya Khan
Papers
2
Total Citations
9
H-Index
2
About
Siladitya Khan is a researcher in soft robotics and smart materials, with a primary focus on the modeling and control of ionic polymer-metal composite (IPMC) actuators. His work centers on addressing the challenge of hyper-redundancy in these compliant, electroactive polymers, which are promising for applications in biomedical devices and micro-manipulation. Khan’s key contributions include developing kinematic models that estimate the shape of IPMC actuators in ionic solutions, enabling more precise predictions of their bending behavior under varying electrical and chemical conditions. His most-cited paper, "Shape estimation of IPMC actuators in ionic solutions using hyper redundant kinematic modeling" (2016), has garnered 7 citations, establishing a foundation for further work in this niche area. He extended this approach in a 2017 study on dissimilarly doped IPMC actuators, proposing an iteratively optimized resolution to hyper redundancy that improves actuation control. Though his citation counts are modest, Khan’s research is technically rigorous, advancing the practical utility of soft actuators. His work is particularly relevant for researchers exploring the intersection of material science, robotics, and control theory, offering a systematic framework for tackling the complexities of compliant, multi-degree-of-freedom systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2