Armando De La Rosa T
Papers
1
Total Citations
57
H-Index
1
About
Armando De La Rosa T is a leading researcher in robotic tactile perception and manipulation, with a primary focus on enabling robots to recognize and interact with objects through touch. His most influential work, "In-hand object recognition via texture properties with robotic hands, artificial skin, and novel tactile descriptors" (2015, 57 citations), pioneered a novel solution for in-hand object recognition by leveraging surface texture properties. In this seminal study, De La Rosa T equipped a robotic hand with artificial skin on its fingertips, allowing it to explore and identify objects through small sliding motions—a breakthrough that demonstrated how tactile feedback alone can distinguish between different materials and textures. This contribution has been foundational for advancing dexterous robotic manipulation, particularly in unstructured environments where visual cues are limited. His work bridges the gap between artificial sensing and human-like touch, with applications in prosthetics, industrial automation, and human-robot interaction. By developing novel tactile descriptors and integrating them with robotic hardware, De La Rosa T has established a framework that continues to inspire research in haptic object recognition, earning him recognition as a key innovator in the field of robotic touch.
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Top Papers
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