Physical AI · Build in Public
VAJRA — autonomous find-and-fetch robot
Jetson Orin Nano + ROS 2 + NanoOWL. Under construction. Same governance instincts as Agentify (deny-by-default, budget routers, eval harnesses) re-applied to physical actions.
Demo · Coming Soon
Tabletop "fetch the red mug" demo
15-second autoplay loop lands here once the v0.1 milestone clip is recorded — actively in build. Tracked in the status checklist below.
Hardware stack
- Compute: NVIDIA Jetson Orin Nano Super (8 GB)
- Locomotion: Differential-drive base (mid-build)
- Manipulation: 5-DOF arm + parallel gripper (sourced)
- Sensing: RGB camera, IMU; depth sensor planned
- Compute budget: ₹35–45K total component spend
Software stack
- OS / middleware: Ubuntu 22.04 + ROS 2 Humble (Jazzy migration in progress)
- Perception: NanoOWL (TensorRT-optimized OWL-ViT) — open-vocabulary detection
- Foundation reference: NVIDIA GR00T N1.7 + Cosmos 3 (April 2026 release)
- Navigation: Nav2 stack — costmap + behavior tree planner
- Governance: Capability-lease envelope per action (deny-by-default)
- Telemetry: OpenTelemetry → Datadog; budget routers per task class
Status
Honest checklist — anything not in green is intent, not capability.
- ✓Hardware sourced; Jetson Orin Nano boots.
- ✓NanoOWL TensorRT engine threshold-tuned.
- ✓Object recognition demo on tabletop scene.
- ○ROS 2 nodes for locomotion + manipulation (in progress).
- ○End-to-end "fetch the red mug" demo recording.
- ○Public Discord with weekly office-hour build session.
Build log
Public, dated, append-only on GitHub. No demo cuts, no marketing lift.