Carlos Blanes
Papers
12
Total Citations
330
H-Index
7
About
Carlos Blanes is a leading researcher at the intersection of robotics, agricultural engineering, and food science, specializing in the development of intelligent robotic grippers for the non-destructive handling and quality assessment of fresh produce. His major contributions center on designing novel pneumatic actuators and integrating multi-modal sensing—including tactile accelerometers and visible/near-infrared spectroscopy—directly into robot end-effectors. This work enables robots to not only grasp delicate fruits and vegetables without damage but also simultaneously evaluate ripeness, firmness, and decay. His seminal 2011 review on technologies for pick-and-place operations in fresh produce has garnered over 116 citations, establishing a foundational reference for the field. Blanes has demonstrated practical applications across a range of crops, from eggplants and mangoes to dragon fruit and okra, with several papers exceeding 30 citations. His recent work incorporates machine vision and deep learning to improve robot perception, and his 2024 survey on machine vision and robotics for food manipulation underscores his ongoing influence in automating quality control for the global food industry.
Research Focus
Key Achievements
Top Papers
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- 5Tactile sensing with accelerometers in prehensile grippers for robots29 citations · 2015
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