Shailu Sachan

Maulana Azad National Institute of Technology

Papers

8

Total Citations

95

H-Index

7

About

Shailu Sachan is a dynamic researcher specializing in intelligent control systems, surgical robotics, and robot-assisted surgery (RAS), with a growing body of work that bridges advanced control theory and real-world medical applications. Her research focuses on developing sophisticated control methodologies — particularly fractional-order sliding mode control (FOPID) and meta-heuristic optimization algorithms — to enhance the precision, stability, and robustness of surgical and industrial robotic manipulators. Among her most significant contributions are her investigations into intelligent fractional-order sliding mode controllers for surgical robots, which have garnered 23 and 21 citations respectively, reflecting strong community recognition. Her 2023 work on robust motion planning for nonlinear incision trajectories addresses one of the most challenging aspects of robot-assisted surgery, while her research on telesurgery demonstrates forward-thinking application of wireless communication networks in smart healthcare systems. Earlier foundational work from 2019 established her expertise in comparative analysis of conventional versus meta-heuristic control schemes for robotic manipulators. With publications spanning surgical robotics, mobile robots, and industrial manipulators, Sachan's research consistently pushes toward safer, smarter, and more autonomous robotic systems — making her an emerging voice in the intersection of control engineering and next-generation healthcare technology.

Research Focus

Key Achievements

7
H-Index
8
Papers
95
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Fractional Order Sliding Mode Based Control for Surgical Robot Manipulator
23 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Maulana Azad National Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago