Journal Papers

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• Héctor Pérez-Villeda, Justus Piater, Matteo Saveriano, Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks. Accepted to: Robotics and Autonomous Systems. ISSN 0921-8890, DOI: 10.1016/j.robot.2022.104309.  [Pdf] and [video]

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• Héctor M. Pérez-Villeda, Gustavo Arechavaleta, América Morales-Díaz, Multi-vehicle coordination based on hierarchical quadratic programming, Control Engineering Practice, Volume 94, 2020, 104206, ISSN 0967-0661,  [Pdf] and [video]

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• Gustavo Arechavaleta, América Morales-Díaz, Héctor M. Pérez Villeda, Mario Castelán, Hierarchical Task-Based Control of Multi-robot Systems With Terminal Attractors, IEEE Transactions on Control Systems Technology, 1063-6536, 2016, DOI: 10.1109/TCST.2016.2549279.   [Pdf] and [video]

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International Conferences

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• Best Poster Award, Héctor M. Pérez Villeda, Justus Piater, Matteo Saveriano, Trajectory Adaptation from Demonstrations with Constrained Optimization, Austrian Robotics Workshop, 2022. [Poster] and [Paper]

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• Héctor M. Pérez Villeda, América Morales Díaz, Flabio Mirelez Delgado. Feasible trajectories generation for formation of mobile robots and obstacle avoidance using PRM and Dijkstra algorithms. Latin American Congress of Automatic Control (CLCA), 2014, Cancún Quintana Roo, México. [Pdf] and [video]
   

• Lotta Lumiaro, Clemens Mahlbacher, Hector Perez-Villeda, Automatic Extrinsic LiDAR-IMU Calibration for Autonomous Ground Vehicles, Austrian Robotics Workshop, 2024

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• Héctor M. Pérez Villeda, América Morales Díaz, Flabio Mirelez Delgado. Reduction of the delay effect in the communication of a differential mobile robot using particle filter algorithm. National Conference of automatic control 2015. October 2015, Cuernavaca, Morelos. México. [Pdf]

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• F. Mirelez Delgado, A. Morales-Díaz, R. Ríos Cabrera, H. Pérez Villeda. Servo-visual control of a Kuka youBot to move and manipulate objects. National Conference of automatic control 2015. October 2015, Cuernavaca, Morelos. México.

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Papers in preparation          

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• Héctor M. Pérez Villeda, Justus Piater, Matteo Saveriano, Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills [Pdf] [video]. Submitted to IEEE Transactions on Robotics (T-RO), 2024

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• Héctor M. Pérez Villeda, Justus Piater, Matteo Saveriano, Weights initialization searching for Neural Networks via Bayesian Optimization over a dimensional reduced space.

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• Héctor M. Pérez Villeda, Justus Piater, Matteo Saveriano, Improving the Generalization of Task-Parameterized Equation Learner Networks using Contextual Information [video]. Submitted to ICRA 2025

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• Héctor M. Pérez Villeda, Justus Piater, Matteo Saveriano, PyNNLib: A Python Library for Learning Basis Functions in Constrained Quadratic Optimization for Regression