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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…
Theia: A Robot Vision Foundation Model that Simultaneously Distills Off-the-Shelf VFMs such as CLIP, DINOv2, and ViT
Visual understanding is the abstracting of high-dimensional visual signals like…
Google DeepMind Researchers Present Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
Technological advancements in sensors, AI, and processing power have propelled…
Hyperion: A Novel, Modular, Distributed, High-Performance Optimization Framework Targeting both Discrete and Continuous-Time SLAM Applications
In robotics, understanding the position and movement of a sensor…
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…
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…
