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Chia sẻ kiến thức về Robotics, AI & Tự động hóa

VLA & LeRobot Mastery

· 16 phần

Simplevla Rl

· 11 phần

Psi0 Hands On

· 6 phần

RL Locomotion cho Humanoid Robot

· 10 phần

RL cho Robot Manipulation

· 8 phần

Điều Khiển Truyền Thống cho Robot Arm

· 8 phần

Simulation cho Robotics

· 6 phần

ROS 2 từ A đến Z

· 4 phần

AI cho Robot

· 7 phần

Robot Manipulation Masterclass

· 7 phần

Locomotion từ Zero đến Hero

· 7 phần

Humanoid Robot Engineering

· 6 phần

Navigation hiện đại

· 5 phần

Blog

NEWTutorial
VLA-0: State-of-the-Art Robot VLA Without Changes
vlanvidianvlabsqwen2.5-vllibero

VLA-0: State-of-the-Art Robot VLA Without Changes

NVIDIA NVlabs proves action as text reaches 94.7% on LIBERO, beating pi_0 and GR00T-N1 with zero architecture modification — just Qwen2.5-VL-3B.

4/5/202612 phút đọc
Tutorial
RDT2: Zero-Shot Cross-Embodiment Foundation Model for Bimanual UR5e/Franka
rdt2foundation-modelbimanualumimanipulation

RDT2: Zero-Shot Cross-Embodiment Foundation Model for Bimanual UR5e/Franka

Detailed guide to RDT2 from THU-ML — a foundation model that zero-shot deploys to bimanual UR5e and Franka, with open-source code.

1/5/20269 phút đọc
Tutorial
SO-101 Sim-to-Real Training: Isaac Lab & LeRobot Guide
so-101isaac-lablerobotsim-to-realmanipulation

SO-101 Sim-to-Real Training: Isaac Lab & LeRobot Guide

Step-by-step guide to train SO-101 robot arm in NVIDIA Isaac Lab, collect teleop data, fine-tune GR00T N1.5, and deploy the policy on real hardware.

29/4/202611 phút đọc
Tutorial
Wheeled Lab: Train RC Car Drift Sim-to-Real with Isaac Lab
isaac-labsim2realwheeled-robotreinforcement-learningrc-car

Wheeled Lab: Train RC Car Drift Sim-to-Real with Isaac Lab

Beginner-friendly walkthrough of Wheeled Lab — open-source ecosystem to train RC cars to drift, climb, and visually navigate in Isaac Lab and deploy zero-shot t

27/4/20269 phút đọc
Tutorial
LIFT humanoid ICLR 2026: SAC pretrain + world model finetune
humanoidreinforcement-learningsacworld-modelmujoco-playground

LIFT humanoid ICLR 2026: SAC pretrain + world model finetune

Reproduce LIFT (ICLR 2026): pretrain SAC in MuJoCo Playground, then sim2sim fine-tune a physics-informed world model in Brax for Booster T1 and Unitree G1.

24/4/202611 phút đọc
Tutorial
Xiaomi-Robotics-0: Run 4.7B VLA on Consumer GPU
vlaqwendiffusion-transformeropen-sourceinference

Xiaomi-Robotics-0: Run 4.7B VLA on Consumer GPU

Step-by-step guide to install and run Xiaomi-Robotics-0 — a 4.7B VLA combining Qwen3-VL and Diffusion Transformer with 80ms real-time inference on RTX 4090.

22/4/202610 phút đọc
Nghiên cứu
AGIBOT WORLD 2026: Real-World Dataset for Robot Imitation Learning
agibotimitation-learningdatasetmanipulationgo-1

AGIBOT WORLD 2026: Real-World Dataset for Robot Imitation Learning

Hands-on guide to AGIBOT WORLD 2026 — the world's largest real-world robot dataset, the GO-1 ViLLA model, installation walkthrough, and the ICRA 2026 challenge.

21/4/20269 phút đọc
Tutorial
RoboTwin 2.0: Complete Guide to Dual-Arm Manipulation Data
dual-armmanipulationdomain-randomizationsynthetic-datasimulation

RoboTwin 2.0: Complete Guide to Dual-Arm Manipulation Data

A comprehensive guide to RoboTwin 2.0 — the scalable synthetic data framework for bimanual robots, featuring MLLM code generation and strong domain randomizatio

21/4/20268 phút đọc
Nghiên cứu
OpenHelix: Dual-System VLA for Robot Manipulation
vladual-systemrobot-manipulationdiffusion-policyopen-source

OpenHelix: Dual-System VLA for Robot Manipulation

A technical deep-dive into OpenHelix — the open-source dual-system VLA that pairs LLaVA-7B (System 2) with a 3D diffusion policy (System 1) via a learned ACT to

21/4/202610 phút đọc
Tutorial
Fine-Tuning GR00T N1.7 with EgoScale: Zero to Deploy
gr00tnvidiavlafine-tuninghumanoid

Fine-Tuning GR00T N1.7 with EgoScale: Zero to Deploy

Complete guide to fine-tuning NVIDIA GR00T N1.7 with EgoScale's 20,854-hour egocentric video dataset — from setup to deploying your policy on a humanoid robot.

21/4/202611 phút đọc
Tutorial
SteadyTray: Unitree G1 Tray Carrying with Residual RL
humanoidreinforcement-learningunitree-g1isaac-labresidual-rl

SteadyTray: Unitree G1 Tray Carrying with Residual RL

Reproduce SteadyTray on IsaacLab — train a Unitree G1 humanoid to carry a tray without dropping objects using a two-stage Residual RL architecture.

19/4/202610 phút đọc
Tutorial
NVIDIA Newton 1.0: GPU Physics 475x Faster Than MJX
simulationnvidiaphysics-enginegpusim-to-real

NVIDIA Newton 1.0: GPU Physics 475x Faster Than MJX

Hands-on guide to NVIDIA Newton 1.0 — the fastest open-source GPU physics engine for sim-to-real robotics, 475x faster than MJX.

17/4/202611 phút đọc