Pablo Martínez-González
Papers
4
Total Citations
104
H-Index
3
About
Pablo Martínez-González is a leading researcher at the intersection of robotics, computer vision, and virtual reality, with a focus on creating highly realistic, interactive environments for both robotic simulation and human assistance. His most influential work, "A visually realistic grasping system for object manipulation and interaction in virtual reality environments" (51 citations), establishes a benchmark for immersive, physically plausible hand-object interactions in VR. He is also widely recognized for his computational analysis of distance operators for the Iterative Closest Point (ICP) algorithm (35 citations), a foundational contribution that refines the standard method for rigid 2D/3D surface registration in robotics and computer vision. Further advancing simulation fidelity, Martínez-González developed UnrealROX (15 citations), an extremely photorealistic VR environment for generating synthetic training data for robots. His applied work includes COMBAHO, a deep learning system designed to integrate brain injury patients into society. Through his contributions, he bridges the gap between high-fidelity simulation and practical robotic perception, enabling more robust and realistic autonomous systems.
Research Focus
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Top Papers
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