Papers
9
Total Citations
69
H-Index
5
About
Karla Figueiredo is a leading researcher at the intersection of agricultural robotics, intelligent control systems, and assistive technologies. Her work centers on developing autonomous mobile robots for precision agriculture, with notable contributions to crop monitoring and inspection systems for soy and cotton fields. Figueiredo’s most cited paper, “Design and Development of an Autonomous Mobile Robot for Inspection of Soy and Cotton Crops” (2019, 19 citations), demonstrates her impact in creating safe, efficient agricultural robots that operate with minimal human intervention. She has also pioneered advanced multi-agent coordination through her work on reinforcement hierarchical neuro-fuzzy models (2014, 18 citations), developing novel hybrid systems that enable intelligent agent interaction in complex environments. Her foundational research on Reinforcement Learning Hierarchical Neuro-Fuzzy Systems (2009, 9 citations) introduced innovative input space partitioning techniques that bypass traditional limitations. Beyond agriculture, Figueiredo applies her expertise to socially beneficial technologies, including robotic mobility assistance devices for elderly people in urban environments. Her work on trajectory tracking control using echo state networks and autonomous navigation algorithms showcases her versatility in combining computational intelligence with practical robotic applications, making her a significant contributor to both agricultural automation and assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 3Hierarchical Neuro-Fuzzy Systems Part II9 citations · 2009
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- 8Sistema de navegação autônoma para o robô agrícola Soybot2 citations · 2021
- 9Mobile robot control using intelligent agents2 citations · 2002