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Publications of A.J. Prado (past Departamento de Electronica UTFSM member)   Order by:   Type | Year

<< Article (Journal) >>

1 F Auat Cheein, G Scaglia, M. Torres-Torriti, J. Guivant, A.J. Prado, J. Arnó, A. Ecolá and J.R. Rosell-Polo. Algebraic path tracking to aid the manual harvesting of olives using an automated service unit. In Biosystems Engineering, Vol. 142:117-132, February 2016. | WoS 2 A.J. Prado, F Auat Cheein, S. Blazic and M. Torres-Torriti. Probabilistic self-tuning approaches for enhancing performance of autonomous vehicles in changing terrains. In Journal of Terramechanics, Vol. 78:39-51, August 2018. | WoS 3 A.J. Prado, F.J. Yandún, M. Torres-Torriti and F Auat Cheein. Overcoming the Loss of Performance in Unmanned Ground Vehicles Due to the Terrain Variability. In IEEE Access, Vol. 6:17391-17406, March 2018. | WoS 4 A.J. Prado, M.M. Michalek and F Auat Cheein. Machine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks. In Engineering Applications of Artificial Intelligence, Vol. 67:63-80, January 2018. | WoS 5 A.J. Prado, M. Torres-Torriti, J.I. Yuz and F Auat Cheein. Tube-based nonlinear model predictive control for autonomous skid-steer mobile robots with tire-terrain interactions. In Control Engineering Practice, Vol. 101:104451-, August 2020. | WoS 6 F Auat Cheein, M. Torres-Torriti, N.B Hopfenblatt, A.J. Prado and D Calabi. Agricultural service unit motion planning under harvesting scheduling and terrain constraints. In Journal of Field Robotics, Vol. 34(8):1531-1542, December 2017. | WoS

<< InProceedings >>

7 A.J. Prado, F Auat Cheein and M. Torres-Torriti. Probabilistic Approaches for Self-tuning Path Tracking Controllers using Prior Knowledge of the Terrain. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, Pages 3095-3100, Corea del Sur, Daejeon, 9-14 October 2016. 8 A.J. Prado, D Chavez, O Camacho, M. Torres-Torriti and F Auat Cheein. Adaptive Nonlinear MPC for Efficient Trajectory Tracking Applied to Autonomous Mining Skid-Steer Mobile Robots. In 2020 IEEE ANDESCON, IEEE, Quito, Ecuador, 13-16 October 2020.

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Last modified: Fri March 12 2021 18:39:37