J. Annisa
Papers
6
Total Citations
38
H-Index
4
About
J. Annisa is a robotics and control systems researcher whose work spans intelligent control algorithms, rehabilitation robotics, and energy harvesting technologies. Her most influential contribution lies in the development of hybrid PID controllers tuned by evolutionary algorithms for flexible robotic manipulators — a technically demanding challenge involving multi-link structures where vibration suppression and precise motion control are critical. Her 2018 paper on this topic, which employs nonlinear autoregressive neural network modeling, has garnered 19 citations and stands as her most recognized work, demonstrating a sophisticated fusion of machine learning and classical control theory. Annisa has also made meaningful contributions to assistive and rehabilitation robotics, developing upper limb rehabilitation robot prototypes designed to support stroke patients — particularly in home and resource-limited settings — addressing a pressing global healthcare need. Her 2014 paper on this topic attracted 8 citations, reflecting its practical relevance. More recently, she has expanded her scope to lower limb rehabilitation systems and wearable robotics, exploring trajectory tracking and range-of-motion training. Additionally, her investigation into energy harvesting from in-pipe robotic devices demonstrates a broader engineering curiosity. Collectively, her work bridges intelligent control, human-centered robotics, and sustainable design.
Research Focus
Key Achievements
Top Papers
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- 4Energy Harvesting from Rotating Motion of In-Pipe Robot Cleaning Device4 citations · 2019
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