Litcius/Paper detail

Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model

Mohammad Mohammadpour, Sousso Kélouwani, Marc-André Gaudreau, Lotfi Zeghmi, Ali Amamou, Hossein Bahmanabadi, Bilel Allani, Massinissa Graba

2023Expert Systems with Applications21 citationsDOI

Topics & Concepts

Computer scienceAccelerationEnergy consumptionKinematicsMotion planningRange (aeronautics)Energy (signal processing)Motion (physics)Kinetic energyEfficient energy useArtificial neural networkProcess (computing)SimulationControl theory (sociology)Artificial intelligenceEngineeringMathematicsRobotAerospace engineeringElectrical engineeringClassical mechanicsStatisticsOperating systemPhysicsQuantum mechanicsControl (management)Robotic Path Planning AlgorithmsAutonomous Vehicle Technology and SafetyAdvanced Manufacturing and Logistics Optimization
Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model | Litcius