Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT

Documenti analoghi

• Attention-Guided Integration of CLIP and SAM for Precise Object Masking in Robotic Manipulation
  di: Muttaqien, Muhammad A., et al.
  Pubblicazione: (2025)
• SuctionPrompt: Visual-assisted Robotic Picking with a Suction Cup Using Vision-Language Models and Facile Hardware Design
  di: Motoda, Tomohiro, et al.
  Pubblicazione: (2024)
• Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers
  di: Motoda, Tomohiro, et al.
  Pubblicazione: (2025)
• Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
  di: Oh, Hanbit, et al.
  Pubblicazione: (2025)
• A Flexible Field-Based Policy Learning Framework for Diverse Robotic Systems and Sensors
  di: Carreon, Jose Gustavo Buenaventura, et al.
  Pubblicazione: (2025)