Vision-language-action models
Policies map multimodal observations and instructions toward robot actions.
Robotics & Embodied AI · Desk 02
Embodied Models & Algorithms
Follow how perception, language, planning and action become policies that operate physical machines.
02
Desk thesis
Embodied intelligence is a system property: model architecture matters, but data, embodiment, control frequency, safety layers and recovery determine real capability.
Reader outcomes
Not an information pile—a path for continuing work.
- 01
Understand VLA, world models, imitation learning, reinforcement learning and classical control in one map.
- 02
Separate semantic reasoning from motor-control evidence.
- 03
Evaluate transfer across tasks, robots, sites and failure conditions.
Professional map
Move from concepts to comparable, testable and actionable questions.
Every topic carries an engineering meaning and a question that must be answered.
World models & spatial reasoning
Predictive representations support planning, counterfactuals and physical-scene understanding.
Imitation & reinforcement learning
Demonstrations and rewards shape behaviour, coverage and failure modes.
Planning & control
Task planning, motion planning and feedback control operate at different time scales.
Dexterity & contact
Tactile sensing, force control and bimanual coordination expose long-tail physical complexity.
Generalisation & recovery
Useful autonomy requires recognising uncertainty, requesting help and recovering from execution errors.
Source gateways
Identify the source class before deciding what it can support.
FUURAA connects readers to originals through professional translation and structured analysis; it neither reproduces source sites nor hides evidence boundaries.
01
Open community
↗02Hugging Face · LeRobot
Open models, datasets and tools for real-world robot learning.
Preprint index
↗03arXiv · cs.RO
Recent robotics preprints across manipulation, control, perception, planning and systems.
Preprint index
↗04arXiv · cs.AI
Broader AI preprints relevant to planning, reasoning, agents and embodied systems.
Primary technical source
↗05Open X-Embodiment
A shared format and collection spanning data from many robot embodiments.
Research lab
↗06Berkeley AI Research · Blog
Accessible explanations of research from BAIR researchers.
Research lab
↗Ai2 · Embodied AI
Open research on interactive agents, 3D understanding and embodied intelligence.
Scope & limits
Professional work makes limits visible rather than making absolute claims.
- 01
Benchmark gains may not transfer to a different robot, camera, gripper or environment.
- 02
Language fluency is not evidence of physical reliability or safe control.
- 03
Public model reports often omit complete failure, intervention and duty-cycle distributions.