Foundation Models in Robotics: Applications, Challenges, and the Future
Paper
•
2312.07843
•
Published
•
16
robotic
-
-
Neural Fields in Robotics: A Survey
Paper • 2410.20220 • Published • 5 -
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset
Paper • 2410.22325 • Published • 10 -
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Paper • 2410.21845 • Published • 16 -
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Paper • 2410.22391 • Published • 22 -
One to rule them all: natural language to bind communication, perception and action
Paper • 2411.15033 • Published • 3 -
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids
Paper • 2502.20396 • Published • 15 -
Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 29 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 118 -
VLA-0: Building State-of-the-Art VLAs with Zero Modification
Paper • 2510.13054 • Published • 12 -
ACG: Action Coherence Guidance for Flow-based VLA models
Paper • 2510.22201 • Published • 36 -
An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges
Paper • 2512.11362 • Published • 21