Francisco Pastor
Papers
7
Total Citations
165
H-Index
6
About
Francisco Pastor is a robotics researcher whose work sits at the intersection of haptic perception, intelligent manipulation, and human-robot interaction. His research has made significant contributions to enabling robots to "feel" and understand their environment through touch, with a particular focus on tactile and kinesthetic sensing for object recognition. His pioneering use of deep learning architectures — including LSTM networks with Bayesian and neural inference (55 citations) and 3D Convolutional Neural Networks for robotic palpation (46 citations) — has advanced the field of multimodal haptic perception, demonstrating how machines can identify objects through touch with remarkable accuracy. Beyond perception, Pastor has applied these capabilities to high-stakes real-world scenarios, notably search and rescue robotics. His work on underactuated grippers for human limb manipulation, autonomous wristband placement for disaster victims, and experimental validation of robotic stretchers for casualty evacuation reflects a commitment to translating laboratory research into life-saving technology. His investigations into proprioceptive force estimation further underscore his dedication to safe physical human-robot interaction. With over 165 cumulative citations, Pastor's body of work represents a coherent and impactful research vision: building robots that can sensitively, safely, and autonomously interact with the human body in critical environments.
Research Focus
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Top Papers
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