Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning

Documenti analoghi

• CEMSSL: Conditional Embodied Self-Supervised Learning is All You Need for High-precision Multi-solution Inverse Kinematics of Robot Arms
  di: Weiming, Qu, et al.
  Pubblicazione: (2023)
• A Unified Calibration Framework for Coordinate and Kinematic Parameters in Dual-Arm Robots
  di: Huang, Tianyu, et al.
  Pubblicazione: (2026)
• Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents
  di: Habekost, Jan-Gerrit, et al.
  Pubblicazione: (2024)
• Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
  di: Adediran, Enoch, et al.
  Pubblicazione: (2024)
• Image-to-Joint Inverse Kinematic of a Supportive Continuum Arm Using Deep Learning
  di: Sepahvand, Shayan, et al.
  Pubblicazione: (2024)