Mauricio Tec

Papers

Total Citations

H-Index

About

Mauricio Tec’s research lies at the intersection of human-robot interaction, reinforcement learning, and computer vision, with a focus on enabling robots to operate safely and intelligently alongside people. His most cited work, “Watch Where You’re Going! Gaze and Head Orientation as Predictors for Social Robot Navigation” (2021, 18 citations), introduces a novel approach that uses human gaze and head orientation as predictive cues for robot motion planning—a key contribution to socially aware navigation in crowded environments. This work demonstrates how robots can interpret human intent to coordinate movement, reducing discomfort and collision risk. Tec also explores intrinsic motivation in reinforcement learning, proposing adversarial objectives to align agent behavior with reference distributions, as seen in his 2021 paper (4 citations). More recently, he has advanced real-time, low-resource object detection for robot soccer (2023, 3 citations), showcasing his ability to deploy efficient AI in dynamic, resource-constrained settings. With a growing citation impact and a focus on practical, human-centered robotics, Tec’s work is shaping how robots perceive and interact with the world—making him a rising voice in socially intelligent autonomous systems.