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26 days ago
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Add robustness sweeps with MuJoCo Warp
Chandra KiranUnverified signaturePOST /simulate/sweep runs a scene (from a run, a generation, or raw MJCF) as up to 256 copies at once, each with its own friction, object masses, joint noise and a push on the robot, and reports how many fell. MuJoCo Warp runs all worlds on the GPU; without CUDA the same randomization runs in plain MuJoCo, and results agree within a millimetre. Models using contact features Warp lacks (the Go2's 1 mm margins) are adapted and the report says so. The report plots push against friction for every world. CI runs both engines inside the worker image.a7dddb6 -
Add /code/check, more robots, and a real hold controller
Chandra KiranUnverified signatureROS 2 check: POST /code/check (or check: true on /code/generate) runs a generated package through the sandbox. The report shows build/launch/test results, errors, missing dependencies, the nodes and topics that came up, the logs, and the recorded bag in Foxglove. The sandbox now uses CycloneDDS with unicast discovery on loopback (containers have no loopback multicast), and our own shutdown no longer counts as a crash. The interface catalogue adds nav2_msgs, control_msgs and moveit_msgs. Robots: Unitree H1 and Go2 and the Franka Panda join the G1. 'hold' keeps the starting pose with a PD law on torque motors (H1, Go2) and targets on position servos; 'passive' now really switches actuation off. The H1 gets a balanced standing pose (it tips over from Menagerie's home pose); all four hold for 20 s.225dc91 -
Use GLM-5.3 via OpenRouter and run simulations on Modal (RunPod optional)
Chandra KiranUnverified signature- LLM settings are provider-neutral (LLM_API_KEY, LLM_BASE_URL, LLM_MODEL), defaulting to z-ai/glm-5.3 on OpenRouter; OpenCode gets the same endpoint as its only provider. - SIM_BACKEND selects modal (default) or runpod. worker/modal_app.py deploys the worker on a T4 (or CPU with MODAL_GPU=none) with a container cap and time limit. - Runs record backend + job_id; GPU time falls back to the worker's own timing on Modal. Existing run tables are migrated.da839c2
27 days ago
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Add GPU simulation runs: RunPod worker, R2 storage, report page
Chandra KiranUnverified signature- POST /simulate/run re-validates the scene, logs the call (tester, time) and submits a RunPod serverless job; GET /simulate/run/{id} for status; GET /simulate/report/{id} (signed link) shows the run summary, video and an embedded Foxglove replay of the MCAP - worker/: MuJoCo simulation with the robot holding its keyframe, Foxglove MCAP (/scene, /tf, /state), H.264 video via EGL with CPU fallback, upload to Cloudflare R2; Dockerfile for RunPod - Usage visibility without caps: runs table, burst warning in logs, review runs/usage commands - R2 setup CLI (CORS for Foxglove, credential check); README setup for R2, the RunPod endpoint and the spend alert5dbd0bf