Preensão Robótica - Abordagens, Dificuldades da Área e Avanços Futuros

  • Kleber L. S. Filho PPGM - Programa de Pós-Graduação em Mecatrônica, UFBA - Universidade Federal da Bahia, Salvador, Bahia
  • Leizer Schnitman PPGM - Programa de Pós-Graduação em Mecatrônica, Universidade Federal da Bahia, Salvador, Bahia
  • Sérgio R. X. Silva UNEB - Universidade do Estado da Bahia, Salvador, Bahia
Keywords: Robot grasping, object manipulation, deep learning, reinforcement learning, artificial intelligence

Abstract

Over the years, the robot grasping area has received considerable attention. Several techniques were developed to increase the efficiency and autonomy of robot manipulators. This work presents a brief review and analysis of different techniques applied to deep learning-based robot grasping generation models, in addition to some of the challenges that need to be overcome in the area.
Published
2022-10-19
Section
Articles