Service · 27
Physical AI & Robotics
AI that moves things — vision-guided control, simulation and edge inference for real machines.
How it's built
(1) Task spec — motion and sensor needs inside a safety envelope. (2) Simulation — digital twin setup, policy training. (3) Perception + control — vision and planning stack as ROS 2 nodes. (4) Sim-to-real — calibration, field tests, failure modes. (5) Edge deploy — Jetson optimization with remote telemetry.
Core fundamentals
- safety envelope defined before motion
- simulate before metal moves
- failure modes tested deliberately
- telemetry from every deployed unit
Build blueprint
Deliverables
- sim environment
- ROS 2 stack
- field test report
- deployed edge system
Stack
ROS 2JetsonSimulationRLVision
Tags
RoboticsROS 2Edge AIReinforcement Learning
From $4,000