Martim Lima de Aguiar
Papers
7
Total Citations
46
H-Index
5
About
Martim Lima de Aguiar is an emerging researcher whose work sits at the dynamic intersection of soft robotics, computer vision, and STEM education. His research focuses on advancing robotic manipulation systems — particularly soft grippers inspired by the Fin Ray Effect — for applications in agriculture and food processing. Through a combination of computational design, numerical simulation, and experimental validation, Aguiar has made meaningful contributions to the development of adaptive, non-destructive robotic systems capable of handling delicate produce such as fruits and vegetables. Among his most recognized contributions is a computer vision-integrated collaborative robotics system for fruit quality control (12 citations), alongside a series of influential studies on Fin Ray Effect soft robotic gripper design and material characterization of TPU 60A for additive manufacturing applications (collectively earning over 20 citations). His fusion of computer vision with soft robotic grippers for autonomous fruit harvesting reflects a compelling vision for sustainable agricultural automation. Beyond engineering research, Aguiar is also committed to education, championing mobile robotics-based STEM curricula and laboratory training in collaborative robotics to build Industry 4.0 competencies in the next generation of engineers. With over 45 citations across recent publications, his trajectory signals a promising and multidisciplinary research career.
Research Focus
Key Achievements
Top Papers
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