Mostrando 5 resultados de: 5
Área de conocimiento
Robótica(5)
Ciencias de la computación(1)
Ingeniería mecánica(1)
Simulación por computadora(1)
Geometric Recognition of Diverse Terrain in Real-Time for a Six-Wheeled Robot based on Laser Scanning Sensors
Conference ObjectAbstract: Wheeled robots are involved in different applications due to their adaptability to different terrainPalabras claves:contact angle between wheel-ground, laser scanning sensors, Six-wheeled robot, terrain recognitionAutores:Kim E.C., Lee B., Moon H., Nabih Pico, Park S.H., Tadese M.A., Tran H.N.Fuentes:scopusA Two-Step Method for Dynamic Parameter Identification of Indy7 Collaborative Robot Manipulator
ArticleAbstract: Accurate dynamic model is critical for collaborative robots to achieve satisfactory performance in mPalabras claves:Dynamic parameters identification, friction identification, Friction Model, robot dynamicsAutores:Moon H., Nabih Pico, Seo S., Tadese M.A.Fuentes:scopusApplication of A Reliable Dynamic Friction Model for Accurate Dynamic Model Parameters Estimation of Robot Manipulators
Conference ObjectAbstract: A precise dynamic model is critical for collaborative robots to achieve satisfactory performance inPalabras claves:Dynamic parameters identification, friction identification, Friction Model, robot dynamicsAutores:Francisco Yumbla, Moon H., Nabih Pico, Tadese M.A.Fuentes:scopusPassivity Guaranteed Dynamic Friction Model with Temperature and Load Correction: Modeling and Compensation for Collaborative Industrial Robot
ArticleAbstract: In this paper, a new comprehensive dynamic friction model for a collaborative industrial robot jointPalabras claves:Collaborative robot, Friction Model, Human-robot interaction, manipulator dynamics, Robot ControlAutores:Francisco Yumbla, Lee W., Moon H., Park J., Tadese M.A., Yi J.S.Fuentes:googlescopusEnhancing Autonomous Robot Navigation Based on Deep Reinforcement Learning: Comparative Analysis of Reward Functions in Diverse Environments
Conference ObjectAbstract: Autonomous robot navigation in complex environments presents a significant challenge due to efficienPalabras claves:Autonomous robot navigation, Deep reinforcement learning, reward functionsAutores:Auh E., Estrella Montero, Jeon J., Junsang Lee, Manuel S. Alvarez-Alvarado, Moon H., Nabih Pico, Tadese M.A.Fuentes:scopus