Kenneth Gutierrez
Papers
2
Total Citations
83
H-Index
2
About
Kenneth Gutierrez is a leading researcher in the field of tactile sensing and haptic perception, with a focus on bridging the gap between human touch and robotic manipulation. His work centers on understanding the mechanics of fingerpad deformation and applying that knowledge to create intelligent, biomimetic tactile sensors for robots. In his highly cited 2021 study on *Elastohydrodynamic friction of robotic and human fingers on soft micropatterned substrates* (75 citations), Gutierrez provided critical insights into how surface texture and lubrication affect grip, directly informing the design of more dexterous robotic hands. He is also a pioneer in machine learning-driven tactile perception; his 2020 paper demonstrated that a robotic system, using a deformable artificial fingerpad and a convolutional neural network, could perceive tactile directionality with an angular threshold comparable to humans (14–40°). This breakthrough enables robots to sense the direction of shear forces during object manipulation, a key capability for tasks like stable grasping and texture discrimination. Gutierrez’s work is foundational for the next generation of prosthetics and humanoid robots, where nuanced touch is essential for safe and effective interaction with the world.
Research Focus
Key Achievements
Top Papers
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