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42 results for “LIBERO” · page 3 of 3

1. Research · Robotics & embodied AI

   Robot-relative 3D features improve pretrained manipulation policies across diverse tasks

   Spatial Grafting: Grounding 3D Features for Flow-Matching Robot Policies

   A lightweight module grounded reconstruction features in metric robot coordinates and improved four vision-language and world-action policy hosts without redesigning their perceptual backbones.

   LIBERO: 99.6% Success Rate (as reported)

   29 Sept 2026University of Toronto, Huawei Noah’s Ark Lab, 2012 Labs

2. Research · Robotics & embodied AI

   Replay-free continual learning method prevents forgetting in vision-language-action models

   SAMBAR: Selective Anchoring via Method of Multipliers for Balanced Knowledge Acquisition and Retention in Vision-Language-Action Models

   SAMBAR combines the method of multipliers with selective parameter anchoring to let VLA policies learn new tasks while preserving old ones.

   LIBERO: 84% Finetune SR (as reported)

   3 Oct 2026University of California Berkeley