Awesome Astra Embodied AI
GPT-6 Astra with embodied AI / robotics workflows and demos.
Contents
Cases are grouped by workflow and ordered by publication date, newest first within each section.
- 🤖 Zero-shot Control
- 🧪 Deploy in Simulation — 10 cases
- 🌍 Deploy in Real World — 10 cases
- 🧠 Agentic Policy Calls — 1 case
- 🔄 Real-to-sim Replay / Data Rollout — 6 cases
- 🛠️ Astra Builds RL Training Environments and Training — 5 cases
🤖 Zero-shot Control
🧪 Deploy in Simulation
Astra directly performs zero-shot control in a simulator.
Case 1: G1 Cola Bottle Pick-up in Isaac Sim
Source / Credit: Flood Sung (@RotekSong), X demo of the GPT-6 Codex agent controlling a Unitree G1 in Isaac Sim.
Published: 2026-09-13
Astra controls the simulated G1 to reach for and pick up a cola bottle through the SONIC planner and low-level controller.
Case 2: Quadruped Task via Five-key-joint Trajectory
Source / Credit: Akira Sasaki (@gclue_akira), X quadruped locomotion demo where Astra outputs five key-joint trajectories for MuJoCo execution.
Published: 2026-09-11
Astra supplies the sparse trajectory while the low-level controller executes the quadruped behavior in MuJoCo.
Case 3: G1 Navigation Trajectory Tracked by SONIC
Source / Credit: Flood Sung (@RotekSong), X demo of Astra producing a navigation trajectory for SONIC to track.
Published: 2026-09-11
Astra outputs the trajectory while SONIC performs the low-level tracking in simulation.
Case 4: Robot Hands Solve a Rubik’s Cube
Source / Credit: Ze Yanjie (@ZeYanjie), X demo titled “GPT6 Astra solved Rubik’s Cube with robot hands.”
Published: 2026-09-10
Astra performs zero-shot dexterous cube manipulation in simulation.
Case 5: Dexterous Apple-stem Grasp in SuperDex
Source / Credit: Kiki Huang, Rednote demo using the Meta SuperDex physics backend and MuJoCo rendering.
Published: 2026-09-10
Astra controls a dexterous hand to grasp the narrow stem of an apple in simulation.
Case 6: GPT-6 Astra on HumanCLAW-Bench
Source / Credit: Jiawei Gu (@Kuvvius), X benchmark demo using the open-source HumanCLAW-Bench harness and motion generator.
Published: 2026-09-10
Astra completes benchmark navigation and interaction tasks through the simulation harness.
Case 7: Whole-body Trajectory with a Whole-body Controller
Source / Credit: 橘子不是唯一的水果, Rednote demo where Astra generates a whole-body trajectory and a whole-body controller executes it.
Published: 2026-09-08
Astra generates the trajectory while the whole-body controller closes the execution loop.
Case 8: Isaac Sim Cube Grasp from One Prompt
Source / Credit: 神秘小孙, Rednote demo of Astra building a depth-camera robot-arm cube-grasp scene in Isaac Sim.
Published: 2026-09-08
Astra receives one task sentence and produces a working simulated grasp demo.
Case 9: Physically Writing a Fibonacci Sequence
Source / Credit: Dmytro Hrybov (@dimentary), X demo of Astra generating a Unitree G1 motion for a physical Fibonacci-writing task.
Published: 2026-09-08
Astra attempts a long-horizon simulated manipulation task that ends with generated code and robot motion.
Case 10: LLM Harness for Tabletop Robot Control
Source / Credit: Jiafei Duan (@DJiafei), X demo of a GPT-6 Astra harness solving a tabletop grasp-and-place task.
Published: 2026-09-06
Astra writes and runs the control loop for a simulated tabletop manipulation task.
🌍 Deploy in Real World
Real-robot demonstrations with explicit hardware and deployment context.
Case 11: Learning to Type and Self-express on a Keyboard
Source / Credit: Kaifeng Zhang (@kaiwynd), X demo where Astra learns to operate a keyboard with a real robot after being asked to express itself.
Published: 2026-09-12
Astra turns an open-ended semantic instruction into physical key presses, learning the robot control through visual feedback in about 40 minutes.
Case 12: Marker Grasp from Low-level Control Only
Source / Credit: star大小变, Rednote demo where Astra discovers joint-to-end-effector control and grasps a marker without prior skills.
Published: 2026-09-12
Astra explores the robot’s joint readings and reaches a marker grasp in about 30 minutes.
Case 13: GPT-Policy-Eval One-shot Plug Insertion
Source / Credit: GPT-Policy-Eval, one-shot video demonstration of GPT-6 Astra guiding a real robot to grasp and insert a plug with visual feedback.
Published: 2026-09-11
Astra executes a contact-rich plug-insertion task from a single video demonstration without VLA, RL, or DAgger; see the complementary RoboCurve evaluation for controlled robot-arm results.
Case 14: Mobile Manipulation with In-context Learning
Source / Credit: Axel (@ax_pey), X demo explicitly showing GPT-6 Astra in-context learning across environments, viewpoints, and layouts.
Published: 2026-09-11
Astra infers mobile-manipulation behavior from visual context without a task-specific text prompt.
Case 15: Rapid Adaptation to an Unseen Robot Embodiment
Source / Credit: Lucas Cassiano (@lucascassiano), X demo giving Astra full access to the robot hardware and the Vitrus AI robotics OS.
Published: 2026-09-09
Astra learns to control a robot embodiment it has not seen before, without human egocentric data or a VLA, showing rapid online adaptation to a new control interface.
Case 16: ENPIRE Robotics Harness In-context Learning
Source / Credit: Tonghe Zhang (@TongheZhang01), X demo of GPT-6 Astra performing robot in-context learning through the ENPIRE harness.
Published: 2026-09-09
Astra learns the real-world behavior from demonstrations in context, without task-specific retraining.
Case 17: Cucumber Slicing with Loop-ROS
Source / Credit: 盒子桥, Rednote demo of GPT-6 Astra directly controlling a robot through Loop-ROS.
Published: 2026-09-09
Astra controls the robot arm through the slicing sequence in the real world.
Case 18: Painting the Golden Gate Bridge from a Semantic Prompt
Source / Credit: thijs (@cdngdev), X demo where Astra is given a robot, a paintbrush, and a camera, then asked to paint the Golden Gate Bridge in the real world.
Published: 2026-09-08
Astra translates the high-level visual concept into physical brush strokes and progressively improves the painting across attempts using camera feedback.
Case 19: Direct End-effector Pose Control
Source / Credit: Loule, Rednote demo of Astra directly outputting end-effector poses for a robot arm.
Published: 2026-09-08
Astra places the longest piece of bread into a basket using third-person and wrist cameras.
Case 20: Piper Carrot Pick-and-place
Source / Credit: 虽然不但是, Rednote demo using only Codex/GPT-6, Piper, and the RealSense SDK.
Published: 2026-09-05
Astra directly controls Piper through repeated visual pick-and-place attempts.
🧠 Agentic Policy Calls
Astra performs high-level task understanding and decomposition, then calls a pretrained embodied foundation model for low-level control.
Case 21: Zero-shot Task Execution through FluxVLA
Source / Credit: Jikun, Rednote demo pairing GPT-6 Astra with the pretrained FluxVLA policy.
Published: 2026-09-09
“Zero-shot” refers to Astra’s task inference and planning; FluxVLA executes the low-level embodied actions.
🔄 Real-to-sim Replay / Data Rollout
Workflows that reconstruct or replay real-world trajectories, demonstrations, and environments in simulation.
Case 22: Lab Kitchen Reconstruction with Articulated Objects
Source / Credit: Frank ZY Dou, Rednote demo reconstructing a lab kitchen from a 20-second monocular RGB video with movable cabinets and other articulated structures.
Published: 2026-09-12
Astra iteratively models a real kitchen and its articulated objects into a simulation scene.
Case 23: Rope-driven Dexterous Hand Reconstruction
Source / Credit: Dmytro Hrybov (@dimentary), X attempt to recreate 1X’s tendon-driven hand demo from a reference video in MuJoCo.
Published: 2026-09-10
Astra rebuilds the hand and motion, but uses simplified mechanics and illustrative cable deformation rather than full tendon-transmission physics.
Case 24: Tendon-driven Dexterous Hand Motion Reconstruction
Source / Credit: Jake Fitzgerald (@earthtojake), X demo in which Astra designs and reconstructs the motion of a tendon-driven robot hand.
Published: 2026-09-09
Astra reconstructs the tendon-driven hand’s motion in a simulated model, including cable-actuated finger movement.
Case 25: Dexterous Hand-object Data Rollout
Source / Credit: Lingxiao (@Lingxiao234), X demo showing two videos driving real-to-sim reconstruction and physical retargeting to Wuji hands.
Published: 2026-09-09
Astra reconstructs hand-object interaction from videos without explicit states or actions.
Case 26: Video in → Physics out
Source / Credit: xiao hu (@huxiao93612565), X demo of Astra writing hand tracking, IK retargeting, and grasp-refinement code for a 44-DOF hand.
Published: 2026-09-09
Astra turns visual hand motion into a physics-backed dexterous-hand replay.
Case 27: Multi-view Real-to-sim Reconstruction
Source / Credit: Lingxiao (@Lingxiao234), X demo combining multi-view RGB, robot actions, camera calibration, assets, system identification, MuJoCo, and Blender.
Published: 2026-09-07
Astra builds a replayable simulator from demonstrations, geometry, and physical parameters.
🛠️ Astra Builds RL Training Environments and Training
Workflows where Astra helps create environments, task definitions, training code, and experiment iterations.
Case 28: RL-trained Duck Robot Demo
Source / Credit: 拂晓时分_茉莉飘香, Rednote demo reporting an RL-trained duck robot generated from one image and one description.
Published: 2026-09-11
Astra builds and trains a locomotion demo from a compact visual specification.
Case 29: Quadruped Locomotion System from RL
Source / Credit: Akira Sasaki (@gclue_akira), X report of Astra designing a robot dog, iterating 25 loops in five days, and training nine motions with RL.
Published: 2026-09-11
Astra co-designs the quadruped and trains a simulated locomotion system; real-hardware debugging is planned rather than completed.
Case 30: Dexterous In-hand Manipulation RL
Source / Credit: 十一, Rednote RL demo of a dexterous hand manipulating a walnut; self-collision was not enabled in the reported run.
Published: 2026-09-11
Astra trains the in-hand manipulation behavior while exposing the reported collision-model limitation.
Case 31: Office Scan → Newton / G1 Humanoid Gym
Source / Credit: Jiarui Xu (@Jiarui_X), X demo where Astra rebuilds an office scan in Blender, exports USD, and creates a G1 walking scene in Newton.
Published: 2026-09-11
Astra creates the environment and training-ready humanoid simulation scene.
Case 32: Isaac Sim Environment, PPO Training, and Tuning
Source / Credit: 十一, Rednote demo of Astra building an Isaac Sim RL environment, configuring PPO, and tuning the run.
Published: 2026-09-10
Astra handles environment construction, training configuration, and iteration in one workflow.
⚠️ Failure Cases
These entries index representative partial or unsuccessful outcomes. A failure can reflect modeling, calibration, embodiment, or tool limits in one setup and does not prove that Astra lacks the underlying capability.
- Rope-driven Dexterous Hand Reconstruction: partial real-to-sim reconstruction with simplified tendon mechanics and illustrative cable deformation; full tendon-transmission physics remains unfinished.
🔗 Related Blogs & Projects
- OpenAI: GPT-6 Astra: the original OpenAI announcement and system overview.
- Robocurve GPT-6 Astra evaluation: controlled YAM-arm comparison reporting 19/20 bowl-task completions for Astra and 80% fewer output tokens; published 2026-09-04.
- GPT-Policy-Eval: one-shot video demonstration to real-world robot execution with GPT-6 Astra.
🙏 Credits
Credit belongs to the original authors, projects, and posts referenced by each case. This repository is a non-commercial compilation and technical analysis only; it does not claim ownership of the underlying work. Pull requests with new cases, corrections, and source updates are welcome.