Probabilistic Workpsace Scan Modes of a Robot Manipulator Commanded by EEG Signals. - Fernando Alfredo Auat Cheeín; Fernando di Sciascio; Ricardo O. Carelli; Teodiano Freire Bastos-Filho (BIODEVICES (2), 2008)

Towards a Probabilistic Manipulator Robot's Workspace Governed by a BCI. - Fernando Alfredo Auat Cheeín; Fernando di Sciascio; Teodiano Freire Bastos-Filho; Ricardo O. Carelli (BIOSTEC (Selected Papers), 2008)

Solution to a door crossing problem for an autonomous wheelchair. - Fernando Alfredo Auat Cheeín; Celso De La Cruz; Ricardo O. Carelli; Teodiano Freire Bastos-Filho (IROS, 2009)

Towards features updating selection based on the covariance matrix of the SLAM system state. - Fernando Alfredo Auat Cheeín; Fernando di Sciascio; Gustavo Scaglia; Ricardo O. Carelli (Robotica, 2011)

Analysis of Different Feature Selection Criteria Based on a Covariance Convergence Perspective for a SLAM Algorithm. - Fernando Alfredo Auat Cheeín; Ricardo O. Carelli (Sensors, 2011)

Ultra Wide-Band Localization and SLAM: A Comparative Study for Mobile Robot Navigation. - Marcelo J. Segura; Fernando Alfredo Auat Cheeín; Juan Marcos Toibero; Vicente A. Mut; Ricardo O. Carelli (Sensors, 2011)

Laser-Based Trespassing Prediction in Restrictive Environments: A Linear Approach. - Fernando Alfredo Auat Cheeín; Gustavo Scaglia (Sensors, 2012)

Covariance-Based Measurement Selection Criterion for Gaussian-Based Algorithms. - Fernando Alfredo Auat Cheeín (Entropy, 2013)

Autonomous Simultaneous Localization and Mapping driven by Monte Carlo uncertainty maps-based navigation. - Fernando Alfredo Auat Cheeín; Fernando M. Lobo Pereira; Fernando di Sciascio; Ricardo O. Carelli (Knowl. Eng. Rev., 2013)

SLAM-based maneuverability strategy for unmanned car-like vehicles. - Fernando Alfredo Auat Cheeín (Robotica, 2013)

Modeling of skid-steer mobile manipulators using spatial vector algebra and experimental validation with a compact loader. - Sergio Aguilera; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín (IROS, 2014)

Trajectory Tracking Controller Design for Unmanned Vehicles: A New Methodology. - Fernando Alfredo Auat Cheeín; Gustavo Scaglia (J. Field Robotics, 2014)

Human-robot interaction in precision agriculture: Sharing the workspace with service units. - Fernando Alfredo Auat Cheeín; Daniel Herrera; Javier Gimenez; Ricardo O. Carelli; Miguel Torres-Torriti; Joan Ramón Rosell-Polo; Alexandre Escolà; Jaume Arnó (ICIT, 2015)

Strategy for collaborative navigation in assistive robotics: Reducing user workload. - Eduardo A. Gonzalez; Fernando Alfredo Auat Cheeín (ICSC, 2015)

Navigation assistance system based on collision risks estimation using depth sensors. - Ernesto Fredes Zarricueta; Fernando Alfredo Auat Cheeín (ICSC, 2015)

Computational approaches for improving the performance of path tracking controllers for mobile robots. - Fernando Alfredo Auat Cheeín; Saso Blazic; Miguel Torres-Torriti (IROS, 2015)

Re-emission and satellite aerial maps applied to vehicle localization on urban environments. - Lucas de Paula Veronese; Edilson de Aguiar; Rafael Correia Nascimento; José E. Guivant; Fernando Alfredo Auat Cheeín; Alberto Ferreira de Souza; Thiago Oliveira-Santos (IROS, 2015)

Real-time approaches for characterization of fully and partially scanned canopies in groves. - Fernando Alfredo Auat Cheeín; José E. Guivant; Ricardo Sanz-Cortiella; Alexandre Escolà; Francisco Yandún; Miguel Torres-Torriti; Joan Ramón Rosell Polo (Comput. Electron. Agric., 2015)

Trajectory-tracking controller design with constraints in the control signals: a case study in mobile robots. - Mario Emanuel Serrano; Gustavo Juan Eduardo Scaglia; Fernando Alfredo Auat Cheeín; Vicente A. Mut; Oscar Alberto Ortiz (Robotica, 2015)

Probabilistic approaches for self-tuning path tracking controllers using prior knowledge of the terrain. - Alvaro Javier Prado; Fernando Alfredo Auat Cheeín; Miguel Torres-Torriti (IROS, 2016)

A light-weight yet accurate localization system for autonomous cars in large-scale and complex environments. - Lucas de Paula Veronese; José E. Guivant; Fernando Alfredo Auat Cheeín; Thiago Oliveira-Santos; Filipe Wall Mutz; Edilson de Aguiar; Claudine Badue; Alberto F. De Souza (ITSC, 2016)

Vision based inspection of transmission lines using unmanned aerial vehicles. - Oswaldo A. Menéndez; Marcelo Perez; Fernando Alfredo Auat Cheeín (MFI, 2016)

Large-scale mapping in complex field scenarios using an autonomous car. - Filipe Wall Mutz; Lucas de Paula Veronese; Thiago Oliveira-Santos; Edilson de Aguiar; Fernando Alfredo Auat Cheeín; Alberto Ferreira de Souza (Expert Syst. Appl., 2016)

A Computational Geometry Approach for Localization and Tracking in GPS-denied Environments. - Lucas de Paula Veronese; Fernando Alfredo Auat Cheeín; Teodiano Freire Bastos-Filho; Alberto Ferreira de Souza; Edilson de Aguiar (J. Field Robotics, 2016)

Intelligent Sampling Technique for Path Tracking Controllers. - Fernando Alfredo Auat Cheeín (IEEE Trans. Control. Syst. Technol., 2016)

Flexible system of multiple RGB-D sensors for measuring and classifying fruits in agri-food Industry. - Rodrigo Méndez Perez; Fernando Alfredo Auat Cheeín; Joan Ramón Rosell Polo (Comput. Electron. Agric., 2017)

Agricultural service unit motion planning under harvesting scheduling and terrain constraints. - Fernando Alfredo Auat Cheeín; Miguel Torres-Torriti; Nicolás Busch Hopfenblatt; Alvaro Javier Prado; Daniel Calabi (J. Field Robotics, 2017)

Sleepiness Detection for Cooperative Vehicle Navigation Strategies. - Juan Pablo Vásconez; Fernando Alfredo Auat Cheeín (CoDIT, 2018)

Finding a Proper Approach to Obtain Cognitive Parameters from Human Faces Under Illumination Variations. - Juan Pablo Vásconez; Fernando Alfredo Auat Cheeín (CoDIT, 2018)

Ground Disturbance Rejection Approach for Mobile Robotic Manipulators with Hydraulic Actuators. - Mattia Rigotti-Thompson; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín; Giancarlo Troni (IROS, 2018)

Overcoming the Loss of Performance in Unmanned Ground Vehicles Due to the Terrain Variability. - Alvaro Javier Prado; Francisco Yandún; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín (IEEE Access, 2018)

A pattern recognition strategy for visual grape bunch detection in vineyards. - Rodrigo Pérez-Zavala; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín; Giancarlo Troni (Comput. Electron. Agric., 2018)

Mechatronic terrestrial LiDAR for canopy porosity and crown surface estimation. - Sebastián Arriagada Pfeiffer; Javier Guevara; Fernando Alfredo Auat Cheeín; Ricardo Sanz-Cortiella (Comput. Electron. Agric., 2018)

Machine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks. - Alvaro Javier Prado; Maciej Marcin Michalek; Fernando Alfredo Auat Cheeín (Eng. Appl. Artif. Intell., 2018)

Preliminary Results on Reducing the Workload of Assistive Vehicle Users: A Collaborative Driving Approach. - Eduardo González; Fernando Alfredo Auat Cheeín (Int. J. Soc. Robotics, 2018)

Machine learning for computer-aided polyp detection using wavelets and content-based image. - Michelle Viscaino; Fernando Alfredo Auat Cheeín (EMBC, 2019)

Collision-free navigation of N-trailer vehicles with motion constraints. - Leonardo Guevara; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín (RoMoCo, 2019)

Social robot navigation based on HRI non-verbal communication: a case study on avocado harvesting. - Juan Pablo Vásconez; Leonardo Guevara; Fernando Alfredo Auat Cheeín (SAC, 2019)

Usability analysis of scan matching techniques for localization of field machinery in avocado groves. - Fernando Alfredo Auat Cheeín; Miguel Torres-Torriti; Joan Ramón Rosell Polo (Comput. Electron. Agric., 2019)

Assessment of power consumption of electric machinery in agricultural tasks for enhancing the route planning problem. - Javier Romero Schmidt; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2019)

Prognosis of the energy and instantaneous power consumption in electric vehicles enhanced by visual terrain classification. - Javier Romero Schmidt; Fernando Alfredo Auat Cheeín (Comput. Electr. Eng., 2019)

A single sensor system for mapping in GNSS-denied environments. - Lucas de Paula Veronese; Claudine Badue; Fernando Alfredo Auat Cheeín; José E. Guivant; Alberto Ferreira de Souza (Cogn. Syst. Res., 2019)

Foliar Moisture Content from the Spectral Signature for Wildfire Risk Assessments in Valparaíso-Chile. - Juan Villacrés; Tito Arevalo-Ramirez; Andrés Fuentes; Pedro Reszka; Fernando Alfredo Auat Cheeín (Sensors, 2019)

Cluster-based scan registration for vehicle localization in urban environments. - Javier Guevara; Fernando Alfredo Auat Cheeín (IRC, 2020)

Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow. - Jordi Gené-Mola; Eduard Gregorio-Lopez; Fernando Alfredo Auat Cheeín; Javier Guevara; Jordi Llorens; Ricardo Sanz-Cortiella; Alexandre Escolà; Joan Ramón Rosell-Polo (Comput. Electron. Agric., 2020)

Analyzing and overcoming the effects of GNSS error on LiDAR based orchard parameters estimation. - Javier Guevara; Fernando Alfredo Auat Cheeín; Jordi Gené-Mola; Joan Ramón Rosell-Polo; Eduard Gregorio-Lopez (Comput. Electron. Agric., 2020)

Headland turning algorithmization for autonomous N-trailer vehicles in agricultural scenarios. - Leonardo Guevara; Maciej Marcin Michalek; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2020)

Collision risk reduction of N-trailer agricultural machinery by off-track minimization. - Leonardo Guevara; Maciej Marcin Michalek; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2020)

Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation. - Juan Pablo Vásconez; José Delpiano; Stavros Vougioukas; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2020)

A fuzzy-based driver assistance system using human cognitive parameters and driving style information. - Juan Pablo Vásconez; Michelle Viscaino; Leonardo Guevara; Fernando Alfredo Auat (Cogn. Syst. Res., 2020)

3D Printing Deformation Estimation Using Artificial Vision Strategies for Smart-Construction. - Juan Villacrés; Robert Guamán Rivera; Oswaldo Menéndez; Fernando Alfredo Auat Cheeín (IECON, 2021)

Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling. - Tito Arevalo-Ramirez; Fernando Alfredo Auat Cheeín (IEEE Access, 2021)

Analyzing the Capabilities of Electric Field Energy Harvesting Using Natural Leaves. - Oswaldo Menéndez; Juan Villacrés; Robert Guamán Rivera; Fernando Alfredo Auat Cheeín (IEEE Access, 2021)

Computer-Aided Ear Diagnosis System Based on CNN-LSTM Hybrid Learning Framework for Video Otoscopy Examination. - Michelle Viscaino; Juan C. Maass; Paul H. Delano; Fernando Alfredo Auat Cheeín (IEEE Access, 2021)

Improving the manual harvesting operation efficiency by coordinating a fleet of N-trailer vehicles. - Leonardo Guevara; Rui P. Rocha; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2021)

A methodology for semantic action recognition based on pose and human-object interaction in avocado harvesting processes. - Juan Pablo Vásconez; Henny Admoni; Fernando Alfredo Auat (Comput. Electron. Agric., 2021)

Distributed Tube-Based Nonlinear MPC for Motion Control of Skid-Steer Robots With Terra-Mechanical Constraints. - Alvaro Javier Prado; Miguel Torres-Torriti; Fernando Alfredo Auat (IEEE Robotics Autom. Lett., 2021)

Evaluating the Limits of a LiDAR for an Autonomous Driving Localization. - Lucas de Paula Veronese; Fernando Alfredo Auat Cheeín; Filipe Wall Mutz; Thiago Oliveira-Santos; José E. Guivant; Edilson de Aguiar; Claudine Badue; Alberto Ferreira de Souza (IEEE Trans. Intell. Transp. Syst., 2021)

In-field piecewise regression based prognosis of the IPC in electrically powered agricultural machinery. - Juan Villacrés; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2022)

Passive Landmark Geometry Optimization and Evaluation for Reliable Autonomous Navigation in Mining Tunnels Using 2D Lidars. - Miguel Torres-Torriti; Paola Nazate-Burgos; Fabián Paredes-Lizama; Javier Guevara; Fernando Alfredo Auat Cheeín (Sensors, 2022)

Assessment of Multispectral Vegetation Features for Digital Terrain Modeling in Forested Regions. - Tito Arevalo-Ramirez; Javier Guevara; Robert Guamán Rivera; Juan Villacrés; Oswaldo Menéndez; Andrés Fuentes; Fernando Alfredo Auat Cheeín (IEEE Trans. Geosci. Remote. Sens., 2022)

Predicting the Elevation of Canopy Occluded Ground Points in Dense Forest Regions. - Tito Arevalo-Ramirez; Fernando Alfredo Auat Cheeín (IEEE Trans. Geosci. Remote. Sens., 2022)

Legged Robots in the Agricultural Context: Analysing Their Traverse Capabilities and Performance. - Christopher Quail; Evrard Emonot-de Carolis; Fernando Alfredo Auat Cheeín (IECON, 2023)

Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms. - Juan Villacrés; Michelle Viscaino; José Delpiano; Stavros Vougioukas; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2023)

Thin wire segmentation and reconstruction based on a novel image overlap-partitioning and stitching algorithm in apple fruiting wall architecture for robotic picking. - Hanhui Jiang; Xiaoming Sun 003; Wentai Fang; Longsheng Fu; Rui Li 069; Fernando Alfredo Auat Cheeín; Yaqoob Majeed (Comput. Electron. Agric., 2023)

GNSS-Based Estimation of Average Instantaneous Power Consumption in Electric Vehicles. - Javier A. Torres Bustos; Marcos E. Orchard; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín (IEEE Trans. Ind. Electron., 2023)

Remote Instantaneous Power Consumption Estimation of Electric Vehicles from Satellite Information. - Franco Jorquera; Juan Estrada; Fernando Alfredo Auat (Robotics, 2023)

City Road Condition Evaluation Through Artificial Vision Information When Driving: A Machine Learning Approach. - Abhiram Karukayil; Fernando Auat Cheein (ICECET, 2024)

Algebraic-Based Velocity Profiling and Path Tracking of a Legged Robot: A Single Leg Case Study. - Youssef Okab; Fernando Auat Cheein (ICECET, 2024)

Generalised 2-Trailer Vehicle's Dataset with LiDAR Point Cloud and Last Trailer's Position Measurements. - Nestor Deniz; Fernando Alfredo Auat Cheeín (ICIT, 2024)

Water Content Classification on Leaves Based on Multi-Spectral Imagery and Machine Learning Techniques for Wildfire Prevention. - Juan Estrada; Matías Zanartu; Rodrigo Demarco; Andrés Fuentes; Fernando Alfredo Auat Cheeín (ICIT, 2024)

Rapid Roboting Towards Fruit Harvesting Tool Design and Implementation in Robotic Farming. - Lucas Hoe; Fernando Alfredo Auat Cheeín (ICIT, 2024)

Exploring Plant Phenotyping through Displacement Current Energy Harvesters-Based Self-Powered Active Sensors. - Oswaldo Menéndez; Juan Villacrés; Fernando Auat Cheein (IECON, 2024)

Deep Learning Enhanced Feature Extraction of Potholes Using Vision and LiDAR Data for Road Maintenance. - Abhiram Karukayil; Christopher Quail; Fernando Alfredo Auat Cheeín (IEEE Access, 2024)

A two-stage deep learning strategy for weed identification in grassfields. - Felipe Calderara-Cea; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín; José Delpiano (Comput. Electron. Agric., 2024)

Yield prediction of root crops in field using remote sensing: A comprehensive review. - Hanhui Jiang; Liguo Jiang; Leilei He; Bryan Gilbert Murengami; Xudong Jing; Paula A. Misiewicz; Fernando Alfredo Auat Cheeín; Longsheng Fu (Comput. Electron. Agric., 2024)

Automated segmentation of individual leafy potato stems after canopy consolidation using YOLOv8x with spatial and spectral features for UAV-based dense crop identification. - Hanhui Jiang; Bryan Gilbert Murengami; Liguo Jiang; Chi Chen; Ciaran Johnson; Fernando Alfredo Auat Cheeín; Spyros Fountas; Rui Li 069; Longsheng Fu (Comput. Electron. Agric., 2024)

A modular sensing system with CANBUS communication for assisted navigation of an agricultural mobile robot. - Redmond R. Shamshiri; Eduardo Navas; Volker Dworak; Fernando Alfredo Auat Cheeín; Cornelia Weltzien (Comput. Electron. Agric., 2024)

Deep learning-based classification of visual symptoms of bacterial wilt disease caused by Ralstonia solanacearum in tomato plants. - Juan Pablo Vásconez; Ingrid Nicole Vásconez; Viviana Moya; Mailyn Calderón-Díaz; Miryam Valenzuela; Ximena Besoain; Michael Seeger; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2024)

Assessment of Triboelectric Nanogenerators for Electric Field Energy Harvesting. - Oswaldo Menéndez; Juan Villacrés; Alvaro Javier Prado; Juan Pablo Vásconez; Fernando Alfredo Auat Cheeín (Sensors, 2024)

Boosting grape bunch detection in RGB-D images using zero-shot annotation with Segment Anything and GroundingDINO. - Rosa Pia Devanna; Giulio Reina; Fernando Auat Cheein; Annalisa Milella (Comput. Electron. Agric., 2025)

Design and implementation of a seed potato cutting robot using deep learning and delta robotic system with accuracy and speed for automated processing of agricultural products. - Jie Huang; Fangxuan Yi; Yingjun Cui; Xiangyou Wang; Chengqian Jin; Fernando Auat Cheein (Comput. Electron. Agric., 2025)

Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends. - Ciarán Miceal Johnson; Juan Sebastian Estrada; Fernando Auat Cheein (Comput. Electron. Agric., 2025)

A cloud point methodology for evaluating the integrity risk of arboreal crop during field coverage of agricultural machinery. - Antony Kachappilly; Rosa Pia Devanna; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín (Comput. Electron. Agric., 2025)

ESM-YOLOv11: A lightweight deep learning framework for real-time peanut leaf spot disease detection and precision severity quantification in field conditions. - Yapeng Zhang; Juan Liu; Shangzhou Li; Sifan Feng; Ziqi Sun; Yanan Cui; Haijiao Liu; Juanjuan Zhang; Fernando Auat Cheein; Wei Guo (Comput. Electron. Agric., 2025)

Estimation of the orientation of potatoes and detection bud eye position using potato orientation detection you only look once with fast and accurate features for the movement strategy of intelligent cutting robots. - Jie Huang; Xiangyou Wang; Chengqian Jin; Fernando Auat Cheein; Xinyu Yang (Eng. Appl. Artif. Intell., 2025)

Model comparison and hyperparameter optimization for visible and near-infrared (Vis-NIR) spectral classification of dehydrated banana slices. - Mehmet Akif Buzpinar; Seda Gunaydin; Erhan Kavuncuoglu; Necati Çetin; Kamil Sacilik; Fernando Auat Cheein (Expert Syst. Appl., 2025)

Model Predictive Path-Following Framework for Generalized N-Trailer Vehicles in the Presence of Dynamic Obstacles Modeled as Soft Constraints. - Nestor Nahuel Deniz; Fernando Auat Cheein (IEEE Trans Autom. Sci. Eng., 2025)

Online path tracking with an integrated H∞ robust adaptive controller for a double-Ackermann steering robot for orchard waypoint navigation. - Redmond R. Shamshiri; Alireza Azimi; Maryam Behjati; Aliakbar Ghasemzadeh; Volker Dworak; Cornelia Weltzien; Konstantinos Karydis; Fernando Alfredo Auat Cheeín (Int. J. Intell. Robotics Appl., 2025)

Robust 2D lidar-based SLAM in arboreal environments without IMU/GNSS. - Paola Nazate-Burgos; Miguel Torres-Torriti; Sergio Aguilera Marinovic; Tito Arevalo-Ramirez; Shoudong Huang; Fernando Auat Cheein (CoRR, 2025)