J Padilla Carmona

Papers

Total Citations

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About

J Padilla Carmona is a researcher whose work lies at the intersection of tactile sensing and robotic manipulation, with a particular focus on how machines can perceive and interact with objects as humans do. Their most cited paper, "Estimating Objects’ Weight in Precision Grips Using Skin-Like Sensors" (2017), introduces a method for using soft, skin-like sensors to estimate the weight of objects during precision grips—a critical capability for dexterous robotic hands. This contribution addresses a fundamental challenge in haptics: enabling robots to adjust grip force based on real-time weight perception, much like the human sensorimotor system. While the paper has garnered 2 citations, it represents an early step in a promising line of inquiry into biomimetic tactile feedback. Carmona’s work is notable for its emphasis on practical, sensor-driven solutions that bridge the gap between soft robotics and human-like manipulation. For students and researchers in robotics, this research offers a glimpse into the future of adaptive, sensor-rich robotic hands capable of handling delicate tasks with precision.