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A hybrid sliding mode control based on a nonlinear PID surface for nonlinear chemical processes
ArticleAbstract: This work formulated and synthesized a hybrid control framework based on sliding mode control and inPalabras claves:Chemical Process, dynamic sliding mode control, Nonlinear PID, Nonlinear systemsAutores:Álvaro Javier Prado, Joseline Yanascual, Marco A. Herrera, Mateo Vásquez, Oscar E. CamachoFuentes:scopusTube-based nonlinear model predictive control for autonomous skid-steer mobile robots with tire–terrain interactions
ArticleAbstract: This work addresses the problem of robust tracking control for skid-steer mobile platforms, using tuPalabras claves:Autonomous industrial machinery, Robust pbkp_redictive control, Robust predictive control, Tire slip dynamics, tire–terrain interaction, trajectory trackingAutores:Álvaro Javier Prado, Cheein F.A.A., Miguel Torres-Torriti, Torres-Torriti M., Yuz J.I.Fuentes:scopusSlip-aware adaptive path planning for whole-body mobile manipulators using reinforcement learning
OtherAbstract: This work investigates Reinforcement Learning-based motion planning and obstacle avoidance for a skiPalabras claves:Deep deterministic policy gradient, deep Q networks, PATH PLANNING, Q-Learning, Reinforcement learning, skid steer mobile robots, terrain constraintsAutores:Álvaro Javier Prado, Camacho C.Fuentes:scopusA Double Deep Q-Learning Network-Based Path Planning Approach for Autonomous Mobile Robots in Mining Environments
OtherAbstract: Motion planning comprises one of the main corner-stones in autonomous mobile robotics, where obstaclPalabras claves:autonomous moble robots, Double Deep Q-Learning, mining environments, PATH PLANNINGAutores:Álvaro Javier Prado, Camacho C., Kevin Marlon Soza MamaniFuentes:scopusOn the assessment of reinforcement learning techniques for path planning of skid-steer mobile robots subject to terrain constraints
OtherAbstract: This paper studies the application of Reinforcement Learning (RL) techniques for path planning of SkPalabras claves:Deep deterministic policy gradient, deep Q networks, PATH PLANNING, Q-Learning, Reinforcement learning, skid steer mobile robots, terrain constraintsAutores:Álvaro Javier Prado, Camacho C., Kevin Dawson, Menendez O., Miguel Torres-TorritiFuentes:scopusNoninvasive Sensing of Foliar Moisture in Hydroponic Crops Using Leaf-Based Electric Field Energy Harvesters
ArticleAbstract: Large-scale wireless sensor networks with electric field energy harvesters (EFEHs) offer self-powerePalabras claves:electric field energy harvesting, Sensor systems and applications, Smart agriculture, vegetation, wearable devicesAutores:Alexis Chugá-Portilla, Álvaro Javier Prado, Cheein F.A.A., Juan Pablo Vasconez, Oswaldo Menéndez-Granizo, Tito Arevalo-RamirezFuentes:scopusDrone-Based Marigold Flower Detection Using Convolutional Neural Networks
ArticleAbstract: Artificial intelligence (AI) is an important tool for improving agricultural tasks. In particular, oPalabras claves:Artificial intelligence, convolutional neural networks, Deep learning, DRONE, Marigold, object detection, TRANSFORMERSAutores:Álvaro Javier Prado, Ingrid Nicole Vásconez, Juan Pablo Vasconez, Piero Vilcapoma, Viviana MoyaFuentes:scopusAn Integrated Route and Path Planning Strategy for Skid–Steer Mobile Robots in Assisted Harvesting Tasks with Terrain Traversability Constraints
ArticleAbstract: This article presents a combined route and path planning strategy to guide Skid–Steer Mobile RobotsPalabras claves:Agricultural machinery, capacitated vehicle routing, harvesting tasks, rapidly-exploring random tree, route and path planning, skid–steer mobile robot, terrain traversability constraints, traveling salesman problemAutores:Álvaro Javier Prado, Juan Pablo Vasconez, Leonardo Guevara, Ricardo Paul UrvinaFuentes:scopusAssessment of Triboelectric Nanogenerators for Electric Field Energy Harvesting
ArticleAbstract: Electric-field energy harvesters (EFEHs) have emerged as a promising technology for harnessing the ePalabras claves:Capacitance transducers, Electromagnetic coupling, Electromagnetic induction, energy harvesting, nanogeneratorsAutores:Álvaro Javier Prado, Cheein F.A.A., Juan Pablo Vasconez, Juan Villacrés, Menendez O.Fuentes:scopusA hybrid reinforcement learning strategy informed by RRT∗ for path planning of mobile robots in open-pit mining
ArticleAbstract: This work introduces a hybrid path planning strategy for differential-drive robotic vehicles, combinPalabras claves:autonomous mobile robot, open-pite mining, PATH PLANNING, Q-Learning, RRTAutores:Álvaro Javier Prado, Cheein F.A.A., Eduardo Aguilar, Katherine Aro, Ricardo Paul Urvina, Sebastian ZapataFuentes:scopus