{"title":"Unitree Robot Training for Engineering Teams","description":"\u003cp\u003eStructured RoboUniversity courses to get an engineering team productive on Unitree robots, from setup and safe operation to ROS 2, simulation and AI. Multi-seat access is priced by quote.\u003c\/p\u003e","products":[{"product_id":"unitree-g1-getting-started-course","title":"Getting Started with the Unitree G1","description":"\u003cp\u003eLearn the essential steps to power on, connect, and operate the Unitree G1 humanoid robot. This quick-start course walks you through setup, updates, debugging, and safe packing — helping you get your G1 ready for action in just a few minutes.\u003c\/p\u003e\u003cp\u003eThis short course is designed to help new Unitree G1 users get started quickly and confidently. Each video provides clear, step-by-step guidance on powering up, connecting, updating, and safely operating your G1 humanoid robot. By the end, you’ll understand the full startup process — from unboxing to debugging — and be ready to begin your first interactive sessions.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e6 short setup videos\u003c\/li\u003e\n\u003cli\u003eHands-on startup guidance\u003c\/li\u003e\n\u003cli\u003eBasic troubleshooting steps\u003c\/li\u003e\n\u003cli\u003eProper packing and storage techniques\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50567399145542,"sku":"RU-COURSE-001","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_01.jpg?v=1794349852"},{"product_id":"dimos-unitree-g1-navigation-course","title":"Unitree G1 Agentic Navigation and Memory with DimOS","description":"\u003cp\u003eMaster the complete DimOS workflow for the Unitree G1 humanoid robot. Learn how to install and configure DimOS, connect to your G1, build the navigation engine, visualize robot perception, use AI agents, create maps, perform autonomous navigation, write custom modules, and develop your own agent skills for advanced robot autonomy.\u003c\/p\u003e\u003cp\u003eThis comprehensive course teaches you how to deploy and use DimOS with the Unitree G1 humanoid robot to create intelligent, autonomous robotic applications. Beginning with a complete installation from scratch, you'll configure Python, GPU PyTorch, and the DimOS navigation engine before learning how to visualize robot perception using Rerun Viewer. From there, you'll explore live camera feeds, AI-powered detection and tracking, agent reasoning, autonomous navigation, environment mapping, and custom module development. By the end of the course you'll be able to build your own agent skills, automate robot tasks, and troubleshoot common deployment issues with confidence.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eComplete DimOS installation \u0026amp; setup\u003c\/li\u003e\n\u003cli\u003eNavigation mapping \u0026amp; autonomous navigation\u003c\/li\u003e\n\u003cli\u003eAI agents, detection \u0026amp; object tracking\u003c\/li\u003e\n\u003cli\u003eCustom DimOS modules \u0026amp; agent skills\u003c\/li\u003e\n\u003cli\u003eControl panel setup \u0026amp; troubleshooting\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50591316934726,"sku":"RU-COURSE-014","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_14.jpg?v=1794349949"},{"product_id":"mujoco-unitree-g1-simulation-course","title":"Mastering Humanoid Simulation with MuJoCo \u0026 the G1","description":"\u003cp\u003eLearn how to simulate, tune, and visualize humanoid motion using MuJoCo and the Unitree G1 model. This hands-on course guides you from setup and physics control to motion replay and 3D dataset visualization with Rerun.\u003c\/p\u003e\u003cp\u003eThis course teaches you how to simulate, tune, and visualize humanoid motion using MuJoCo and the Unitree G1 humanoid model. You’ll learn how physics settings, solver mechanics, contact parameters, and environment changes affect balance and motion. Then, you’ll explore real G1 motion datasets—walking, running, squatting, and human dance—while learning to replay and analyze movements using MuJoCo and Rerun 3D visualization. By the end, you’ll be able to run full G1 simulations, fine-tune motion realism, and compare human vs robot trajectories.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eMuJoCo simulation setup \u0026amp; controls\u003c\/li\u003e\n\u003cli\u003eUnitree G1 motion and balance labs\u003c\/li\u003e\n\u003cli\u003eHuman motion dataset replays\u003c\/li\u003e\n\u003cli\u003eRerun 3D motion visualization projects\u003c\/li\u003e\n\u003cli\u003eCertificate of completion\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620705996870,"sku":"RU-COURSE-004","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_04.jpg?v=1794349886"},{"product_id":"sim2real-unitree-g1-course","title":"Sim2Real Reinforcement Learning for the Unitree G1","description":"\u003cp\u003eLearn the complete workflow for building, training, and deploying locomotion policies using NVIDIA Isaac Sim, Isaac Lab, and RSL-RL — then transfer those skills directly to a real Unitree G1 quadruped. This course gives you a practical, end-to-end sim-to-real pipeline, from world building and sensors to PPO training, ROS 2 integration, and real-robot deployment.\u003c\/p\u003e\u003cp\u003eThis course teaches you how to build complete reinforcement-learning locomotion systems inside NVIDIA Isaac Sim and transfer those skills to a real Unitree Go1. You'll learn USD and PhysX fundamentals, create observations and action spaces, design rewards and termination rules, generate terrain curricula, and train PPO policies using RSL-RL’s high-performance vectorized environments. The final modules guide you through ROS 2 bridging, policy packaging, G1 bring-up, safety checks, deployment, and real-world tuning — giving you a full, practical sim-to-real workflow used in modern robotics labs.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStep-by-step Sim2Real lessons\u003c\/li\u003e\n\u003cli\u003eFull Isaac Sim \u0026amp; Isaac Lab setup guidance\u003c\/li\u003e\n\u003cli\u003ePPO training with RSL-RL\u003c\/li\u003e\n\u003cli\u003ePolicy deployment on Unitree Go1\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620706717766,"sku":"RU-COURSE-005","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_05.jpg?v=1794349892"},{"product_id":"hdmi-human-to-motion-unitree-g1-course","title":"HDMI: Human-to-Motion Intelligence for the Unitree G1","description":"\u003cp\u003eLearn how to teach the Unitree G1 humanoid robot to move by learning directly from human videos. This course covers the complete Human-to-Motion Intelligence (HDMI) pipeline — converting video into motion datasets, visualizing and validating humanoid motion, training learned control policies, and deploying those behaviors onto a real Unitree G1 humanoid robot.\u003c\/p\u003e\u003cp\u003eThis course teaches you how to create humanoid robot behaviors for the Unitree G1 by learning directly from human motion captured in video. Instead of hand-designing controllers or tuning rewards from scratch, you will build a Human-to-Motion Intelligence (HDMI) pipeline that converts video into structured motion datasets, visualizes and validates those motions in simulation, trains learned control policies, and deploys them onto a real Unitree G1 humanoid. The course emphasizes end-to-end embodied AI workflows used in modern humanoid research, bridging computer vision, motion representation, simulation, and real-world robot deployment.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eHuman motion extraction from video\u003c\/li\u003e\n\u003cli\u003eG1 motion dataset creation \u0026amp; visualization\u003c\/li\u003e\n\u003cli\u003eTraining datasets into motion policies\u003c\/li\u003e\n\u003cli\u003eDeploying learned behaviors to a real G1\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620707078214,"sku":"RU-COURSE-006","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_06.jpg?v=1794349899"},{"product_id":"robojudo-unitree-g1-course","title":"RoboJuDo: From Installation to Real Robot Deployment","description":"\u003cp\u003eGo from a fresh install to production-ready deployment on the Unitree G1 (29-DOF humanoid). This course walks you through RoboJuDo’s architecture, policies, pipelines, safe simulation practice, and real-hardware deployment—step-by-step with narrated walkthroughs and terminal demos.\u003c\/p\u003e\u003cp\u003eRoboJuDo: From Installation to Real Robot Deployment is a complete end-to-end training program for the Unitree G1 (29-DOF humanoid). You’ll start by installing the framework on the Jetson, run your first MuJoCo simulation, explore controllers, policies, and pipelines, and systematically validate every configuration before deploying to real hardware. The course is structured in four parts: installation and setup, system architecture and robotics fundamentals, advanced simulation practice, and safe real-world deployment. Every lesson includes written guides, narrated walkthroughs, and terminal demo recordings so you can follow along step-by-step.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eLessons with written guides + commands\u003c\/li\u003e\n\u003cli\u003eNarrated audio walkthroughs (ElevenLabs-ready scripts + MP3)\u003c\/li\u003e\n\u003cli\u003eTerminal demo recordings (.cast \/ .gif \/ .mp4)\u003c\/li\u003e\n\u003cli\u003eSimulation-first safety workflow before touching hardware\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620707143750,"sku":"RU-COURSE-007","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_07.jpg?v=1794349906"},{"product_id":"ros2-unitree-g1-course","title":"ROS 2 for the Unitree G1: From Setup to Sim-to-Real Control","description":"\u003cp\u003eBuild real humanoid robot software the right way. In this course, you’ll install ROS 2, create Python and C++ packages, learn ROS communication, integrate the Unitree G1 SDK, build a ROS↔SDK bridge, and run the same control workflow in MuJoCo for safe sim-to-real iteration.\u003c\/p\u003e\u003cp\u003eROS 2 for the Unitree G1: From Setup to Sim-to-Real Control teaches you the full command chain from software to motors. You’ll start with the humanoid software stack and ROS 2 fundamentals, then build real ROS 2 packages in Python and C++, integrate the Unitree G1 SDK for direct control, and finally connect everything through a ROS↔SDK bridge. To keep the workflow safe and repeatable, you’ll also run the same control patterns in MuJoCo, so you can test, iterate, and debug in simulation before touching hardware.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStep-by-step lessons (architecture → sim control)\u003c\/li\u003e\n\u003cli\u003eHands-on ROS 2 development in Python and C++\u003c\/li\u003e\n\u003cli\u003eUnitree G1 SDK integration + ROS↔SDK bridge node\u003c\/li\u003e\n\u003cli\u003eMuJoCo simulation workflow for safe testing\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620707242054,"sku":"RU-COURSE-008","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_08.jpg?v=1794349912"},{"product_id":"vla-unitree-g1-course","title":"Vision-Language-Action (VLA) Systems on the Unitree G1","description":"\u003cp\u003eLearn to build and deploy real Vision-Language-Action systems on a humanoid robot. This course takes you from safe G1 setup and visual navigation to dexterous manipulation, predictive world modeling, and full autonomous execution using UniFoLM and GR00T pipelines. By the end, you’ll run complete VLA workflows on a real-world humanoid platform.\u003c\/p\u003e\u003cp\u003eThis course teaches you how to design, train, and deploy Vision-Language-Action (VLA) systems on the Unitree G1 humanoid robot. You’ll begin with safe robot setup and perception-driven navigation, then progress into real manipulation using UniFoLM-VLA, predictive reasoning with world models, and full autonomy pipelines. Through a hands-on workflow, you’ll collect real teleoperation data, build datasets, and fine-tune GR00T policies for whole-body control. By the end, you’ll be running complete VLA systems that connect vision, language, and action into real-world humanoid behaviors.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eVisual navigation + perception-based control\u003c\/li\u003e\n\u003cli\u003eDexterous manipulation with UniFoLM-VLA\u003c\/li\u003e\n\u003cli\u003eWorld-model reasoning with UniFoLM-WMA\u003c\/li\u003e\n\u003cli\u003eVR teleoperation + real data collection workflows\u003c\/li\u003e\n\u003cli\u003eGR00T fine-tuning + full VLA deployment\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620707962950,"sku":"RU-COURSE-009","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_09.jpg?v=1794349918"},{"product_id":"webrtc-unitree-go2-g1-course","title":"Zero-to-Robot WebRTC for Unitree Go2 \u0026 G1","description":"\u003cp\u003eBuild, understand, and extend a real-time WebRTC command pipeline for Unitree Go2 and G1 robots using the z4rtc CLI. Learn how to connect over LAN, inspect SDP and ICE negotiation, send locomotion and gesture commands, stream video and audio, and explore LiDAR workflows through hands-on lessons designed for both quadruped and humanoid platforms.\u003c\/p\u003e\u003cp\u003eThis hands-on course teaches developers how to connect to and control Unitree Go2 and Unitree G1 robots using a direct WebRTC-based command pipeline. Students learn how the z4rtc command-line tools communicate with the robot over the built-in data channel, without relying on extra middleware. Through guided lessons, participants will explore WebRTC connection setup, SDP and ICE negotiation, robot command execution, browser-based interfaces, media streaming, and LiDAR-related workflows. By the end of the course, students will understand how to build, troubleshoot, and extend a real-time control stack for both quadruped and humanoid Unitree robots.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWebRTC connection and discovery lessons\u003c\/li\u003e\n\u003cli\u003eCLI control with z4rtc and z4web workflows\u003c\/li\u003e\n\u003cli\u003eRobot posture, motion, tricks, and gestures\u003c\/li\u003e\n\u003cli\u003eVideo, audio, and media streaming exercises\u003c\/li\u003e\n\u003cli\u003eLiDAR and browser-based visualization labs\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620708225094,"sku":"RU-COURSE-010","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_10.jpg?v=1794349924"},{"product_id":"gr00t-whole-body-control-unitree-g1-course","title":"GR00T Whole-Body Control for the Unitree G1","description":"\u003cp\u003eLearn how to take the Unitree G1 from keyboard locomotion to full autonomous manipulation using NVIDIA’s GEAR-SONIC whole-body controller and GR00T N1.6 Vision-Language-Action workflows. This hands-on course covers installation, teleoperation, data collection, fine-tuning, and deployment on the real robot.\u003c\/p\u003e\u003cp\u003eThis course teaches developers and robotics researchers how to take the Unitree G1 from basic motion control to advanced autonomous manipulation using NVIDIA’s GEAR-SONIC whole-body controller and GR00T N1.6 Vision-Language-Action workflows. Students will learn how to install and configure the software stack, control the robot with a keyboard and gamepad, perform VR teleoperation, collect manipulation demonstrations, prepare datasets, fine-tune GR00T models, and deploy autonomous behaviors back onto the real robot. By the end of the course, participants will understand the full pipeline from teleoperation and data collection to VLA training and real-world deployment.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eGEAR-SONIC installation labs\u003c\/li\u003e\n\u003cli\u003eKeyboard and gamepad locomotion lessons\u003c\/li\u003e\n\u003cli\u003eVR teleoperation and demonstration recording\u003c\/li\u003e\n\u003cli\u003eGR00T N1.6 fine-tuning workflow\u003c\/li\u003e\n\u003cli\u003eReal G1 autonomous deployment exercises\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620709273670,"sku":"RU-COURSE-011","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_11.jpg?v=1794349930"},{"product_id":"kimodo-unitree-g1-motion-course","title":"Generating Whole-Body Motion Data with Kimodo for the Unitree G1","description":"\u003cp\u003eLearn how to use Kimodo to generate, guide, export, and prepare G1 humanoid motion data for deployment. This beginner-friendly course walks learners through setup, text-prompted motion generation, keyframe and constraint-based control, terrain-aware examples, CSV export, and the workflow used to prepare motion files for real Unitree G1 playback.\u003c\/p\u003e\u003cp\u003eThis beginner-friendly course teaches learners how to use Kimodo to generate, guide, export, and prepare whole-body motion data for the Unitree G1 humanoid robot. Students move step by step through the main G1 motion examples, learning how text prompts, end-effector constraints, full-body keyframes, root paths, waypoints, terrain context, and object-intent prompts can shape generated robot motion. The course finishes by showing how exported G1 Seed motion data can be converted and organized for downstream deployment workflows, including real G1 playback preparation.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eText-prompted G1 motion generation\u003c\/li\u003e\n\u003cli\u003eGuided Kimodo motion examples\u003c\/li\u003e\n\u003cli\u003eRoot paths, waypoints, and constraints\u003c\/li\u003e\n\u003cli\u003eG1 Seed CSV export workflow\u003c\/li\u003e\n\u003cli\u003eDeployment preparation for real G1 playback\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620710846534,"sku":"RU-COURSE-012","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_12.jpg?v=1794349937"},{"product_id":"unitree-g1-data-to-deployment-course","title":"Teaching the G1 New Skills: From Data Collection to Autonomous Deployment","description":"\u003cp\u003eLearn how to collect robot demonstrations, clean LeRobot v2.1 datasets, fine-tune an Isaac-GR00T N1.7 VLA policy, and deploy trained inference on the Unitree G1 using NVIDIA's GR00T WholeBodyControl workflow. This practical course takes students from data collection to PolicyServer deployment through the supported trained-policy path.\u003c\/p\u003e\u003cp\u003eThis practical course teaches learners how to take a Unitree G1 humanoid robot from raw demonstration data to a deployed trained VLA policy. Students learn how to collect robot demonstrations with GR00T WholeBodyControl, save and clean LeRobot v2.1 datasets, fine-tune Isaac-GR00T N1.7 using the UNITREE_G1_SONIC embodiment, and deploy the trained policy through the Isaac-GR00T PolicyServer and SONIC inference stack. The focus is on teaching one useful robot task, evaluating the results, and improving performance through better data.\u003c\/p\u003e\u003ch3\u003eThis course includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eG1 demonstration data collection\u003c\/li\u003e\n\u003cli\u003eLeRobot v2.1 dataset cleanup\u003c\/li\u003e\n\u003cli\u003eIsaac-GR00T N1.7 fine-tuning\u003c\/li\u003e\n\u003cli\u003ePolicyServer inference workflow\u003c\/li\u003e\n\u003cli\u003eTrained policy deployment on Unitree G1\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"RoboUniversity","offers":[{"title":"Default Title","offer_id":50620711600198,"sku":"RU-COURSE-013","price":5995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/9582\/4198\/files\/course_13.jpg?v=1794349943"}],"url":"https:\/\/robostore.com\/collections\/robotics-training-for-teams.oembed","provider":"RoboStore","version":"1.0","type":"link"}