Deep Imitation Learning for Bimanual Robotic Manipulation Fan Xie 1 Alexander Chowdhury 1 M. Clara De Paolis Kaluza

Oct-9-2025, 13:23:10 GMT–Neural Information Processing Systems

A core challenge is to generalize the manipulation skills to objects in different locations. We hypothesize that modeling the relational information in the environment can significantly improve generalization.

artificial intelligence, demonstration, machine learning, (15 more...)

Neural Information Processing Systems

Oct-9-2025, 13:23:10 GMT

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Country:
- North America
  - Canada (0.04)
  - Puerto Rico > San Juan
    - San Juan (0.04)
  - United States
    - California > San Diego County
      - San Diego (0.04)
    - Massachusetts > Suffolk County
      - Boston (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.46)
    - Neural Networks > Deep Learning (0.46)
  - Robots (1.00)

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