Question 1

Embodied AI / Embodied Intelligence

Accepted Answer

Embodied AI refers to the capability of an AI system to interact with the physical world through a physical body (such as a humanoid robot), perceive its environment, and execute physical tasks. It is a critical pathway for bringing AGI from the digital space into the physical world. Unlike "digital-world AI" (e.g., large language models), embodied AI requires physical perception, motor control, and environmental interaction capabilities.

Question 2

VLA Model (Vision-Language-Action Model)

Accepted Answer

A VLA model is an end-to-end architecture that unifies visual perception, language understanding, and action generation within a single model. It is a core technology in embodied intelligence, enabling robots to "see the environment, understand instructions, and take actions" through direct perception-to-action mapping.

Question 3

Reinforcement Learning Robot

Accepted Answer

A reinforcement learning (RL) robot uses reinforcement learning methods to train its motion control policies. RL enables robots to learn optimal control strategies through repeated trial-and-error in simulated environments by maximizing cumulative rewards. RL is currently the mainstream approach for humanoid robot motion control, capable of learning complex motor skills that exceed human design capabilities (e.g., wild terrain hiking, dynamic balancing).

Question 4

Sim-to-Real Transfer

Accepted Answer

Sim-to-Real transfer is the process of deploying robot control policies trained in simulation environments onto real physical robots. Due to physical parameter differences between simulation and reality (e.g., friction, mass distribution, sensor noise), direct transfer often leads to performance degradation. Solutions include Domain Randomization, System Identification, and others.

Question 5

Agentic OS

Accepted Answer

An agentic operating system is designed for humanoid robots, providing task understanding, planning, and execution capabilities. Unlike traditional robot operating systems (e.g., ROS) that focus on hardware abstraction and communication, an agentic OS focuses on the AI brain-level task orchestration — connecting large language model reasoning capabilities with the robot's physical execution capabilities, enabling robots to understand natural language instructions and autonomously complete multi-step tasks.

Question 6

Full-Size Humanoid Robot

Accepted Answer

A full-size humanoid robot has a height close to that of an adult human (typically 150cm+), as opposed to desktop-level or small humanoid robots. Full-size humanoids face greater technical challenges (weight, balance, thermal management, battery life) but also possess more human-like interaction capabilities and broader application scenarios (commercial performance, guiding, inspection, material handling).

Question 7

Degrees of Freedom (DOF)

Accepted Answer

Degrees of Freedom is a core parameter describing a robot's motion flexibility, referring to the number of independently controllable movement dimensions. Humanoid robots typically have motors at joints, with each motor providing one DOF. For example, LimX Luna has 27 DOFs distributed across the neck (2), each arm (5 x2), waist (3), and each leg (6 x2). Higher DOF enables more complex movements but requires more sophisticated control algorithms.

Question 8

Swarm Control

Accepted Answer

Swarm control is the technology for simultaneously controlling multiple robots to perform coordinated movements or performances. LimX Luna supports intelligent swarm control, enabling simultaneous control of 200+ robots for cluster performances with millisecond-level synchronization. Swarm control is widely used in commercial performances, theme parks, and exhibition interactions.

Question 9

Modular Design

Accepted Answer

In robotics, modular design refers to the ability to quickly detach and replace robot components (such as foot modules, arms, sensors) to adapt to different task requirements. For example, TRON 1 features a "3-in-1" modular foot design, supporting point foot, biped, and wheeled-leg configurations, with software that auto-detects the module and switches control modes.

Question 10

URDF (Unified Robot Description Format)

Accepted Answer

URDF is an XML format used in ROS (Robot Operating System) to describe robot structure. It defines the robot's links, joints, inertial parameters, visual models, and collision models. A clear and complete URDF is the foundation for reinforcement learning simulation training, directly affecting Sim-to-Real transfer quality.

Question 11

VGM (Video-Generated Manipulation)

Accepted Answer

VGM is an embodied robot manipulation algorithm released by LimX Dynamics in February 2025. Its core capability is using human video data to train robot manipulation policies, reducing embodied intelligence's dependence on teleoperation data. VGM enables robots to learn grasping, placing, and other manipulation skills from ordinary human operation videos.

Question 12

DreamActor

Accepted Answer

DreamActor is a new embodied AI training paradigm released by LimX Dynamics in September 2025. It adopts a multi-source data recipe strategy, fusing data from multiple sources to train embodied intelligence models. Related research was published at CoRL 2025.

Question 13

FluxVLA Engine

Accepted Answer

FluxVLA Engine is an open-source standardized VLA engineering foundation released by LimX Dynamics in April 2026, co-built with Alibaba Cloud. Its core design principles are unified configuration, standard interfaces, and modular decoupling, solving three bottlenecks: data fragmentation, code coupling, and sim-to-real transfer gap. It supports VLM/VLA full-stack tasks and can be deployed on UR robotic arms, ALOHA, and TRON 2, with 5-10x inference acceleration.

Question 14

LimX COSA

Accepted Answer

LimX COSA is a physical-world-native agentic operating system for humanoid robots, released by LimX Dynamics in January 2026. It provides task understanding, planning, and execution capabilities, advancing embodied intelligence applications in research, manufacturing, commercial, and home scenarios.

LimX Dynamics | Embodied AI & Robotics Glossary