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Latent Action Pretraining for General Action models (LAPA): An Unsupervised Method for Pretraining Vision-Language-Action (VLA) Models without Ground-Truth Robot Action Labels
Vision-Language-Action Models (VLA) for robotics are trained by combining large…
Google DeepMind’s SIMA Project Enhances Agent Performance in Dynamic 3D Environments Across Various Platforms
The exploration of artificial intelligence within dynamic 3D environments has…
This AI Paper Proposes a Pipeline for Improving Imitation Learning Performance with a Small Human Demonstration Budget
The practical application of robotic technology in automatic assembly processes…
Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks
Learning in simulation and applying the learned policy to the…
OpenVLA: A 7B-Parameter Open-Source VLA Setting New State-of-the-Art for Robot Manipulation Policies
A major weakness of current robotic manipulation policies is their…
A Simple Open-loop Model-Free Baseline for Reinforcement Learning Locomotion Tasks without Using Complex Models or Computational Resources
The field of deep reinforcement learning (DRL) is expanding the…
