Francisco Azevedo
Papers
1
Total Citations
2
H-Index
1
About
Francisco Azevedo is a researcher whose work lies at the intersection of robotics, haptics, and sensor technology, with a particular focus on enhancing the dexterity and perception of robotic grippers. His most notable contribution, the 2017 paper "Estimating Objects’ Weight in Precision Grips Using Skin-Like Sensors," explores how soft, biomimetic sensors can be integrated into robotic hands to infer object weight through subtle tactile feedback—a critical capability for tasks ranging from manufacturing to assistive robotics. This work, which has garnered early citations, demonstrates Azevedo’s commitment to bridging the gap between human-like touch and machine precision. By developing skin-like sensors that mimic the mechanoreceptors in human fingertips, he has advanced the field of tactile sensing, enabling robots to handle fragile or irregular objects with greater safety and accuracy. While his citation count is still growing, the foundational nature of his research positions him as a promising innovator in sensor-driven robotics. Azevedo’s work is particularly relevant for students and engineers interested in the future of human-robot interaction, where intuitive, adaptive manipulation is key.
Research Focus
Key Achievements
Top Papers
- 1Estimating Objects’ Weight in Precision Grips Using Skin-Like Sensors2 citations · 2017